Living systematic review (LSR) is a systematic review methodology that incorporates regular updates to integrate new evidence, aiming to rapidly reflect the latest research findings. Although LSRs are increasingly adopted in clinical fields, their reporting quality remains inconsistent and lack of standardized guidelines. To standardize LSR reporting, the PRISMA 2020 statement has released an extension checklist (PRISMA-LSR). This paper describes the background of PRISMA-LSR release and main revisions, and interprets it with examples, with the goal of guiding future LSR research and enhancing reporting quality.

Postoperative pain is a common clinical phenomenon,and patient-controlled analgesia(PCA)is currently the most widely used and optimal analgesic method.Postoperative follow-up can guide pa-tients in the correct use of PCA,thereby effectively alleviating postoperative pain.To date,there has been no expert consensus or guideline to standardize clinical practices in this regard.To address this gap,Peking Union Medical College Hospital,Chinese Academy of Medical Sciences&Peking Union Medical College,China-Japan Friendship Hospital,and the Clinical Anesthesia Quality Management Group of the Chinese Society of Anesthesiology jointly initiated and organized a panel of clinicians and nurses specializing in postoperative pain management and research to develop the Expert Consensus on Postoperative Patient-controlled Analgesia Follow-up in Adults(2025).Based on the latest evidence-based data and expert clinical experience,this consensus provides preliminary recommendations in three key areas:the composition of the Patient-controlled Analgesia follow-up team,suitable patient populations,and follow-up and nursing care.It aims to offer valuable guidance for the standardized management of PCA in postoperative patients.

Objective:To construct a Harvard cancer index-based risk predictive model for perioperative venous thromboembolism (VTE) in elderly patients with femoral neck fracture and assess its predictive effectiveness.Methods:A retrospective cohort study was conducted to analyze the clinical data of 610 elderly patients with femoral neck fracture admitted to Peking Union Medical College Hospital between January 2013 and December 2022, including 193 males and 417 females, aged 60-99 years [(77.3±9.0)years]. The patients were divided into VTE group ( n=125) and non-VTE group ( n=485) according to occurrence of VTE during the perioperative period. The two groups were compared in terms of gender, age, body mass index, smoking status, alcohol consumption, time from fracture to admission, surgical waiting time, comorbidities, perioperative electrolyte disorders, past or present history of malignancy, past history of deep vein thrombosis (DVT) or pulmonary embolism (PE), and preoperative use of oral anticoagulants. Univariate analysis and multivariable stepwise Logistic regression analysis were conducted to evaluate and identify independent risk factors for perioperative VTE in elderly patients with femoral neck fracture. A perioperative VTE risk predictive model for elderly patients with femoral neck fracture was constructed using the Harvard cancer index: (1) assigning a risk score to each variable according to the corresponding conversion criteria of the Harvard cancer index and risk score, based on the magnitude of their ORs; (2) determining the exposure rate of each risk factor based on the population distribution observed in this study; (3) calculating the average population risk score; (4) computing the individual VTE risk score; (5) deriving the ratio (X) of each individual ′s VTE risk score to the population average. Based on the Harvard cancer index classification criteria for disease risk levels, individual VTE risk categories were determined. The predictive performance of the risk stratification was evaluated by comparing the incidence of VTE across different risk levels. The predictive performance of the model was evaluated based on sensitivity, specificity, and the area under the receiver operating characteristic (ROC) curve (AUC). The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) test and internal validation was performed using the bootstrap resampling method with 1000 iterations. Results:Univariate analysis showed that gender, age, time from fracture to admission, surgical waiting time, previous cerebral infarction, stroke within the past month, Alzheimer′s disease, primary Parkinson′s syndrome, hysterectomy with bilateral adnexectomy, perioperative electrolyte disorders, history of DVT or PE, and preoperative use of oral anticoagulant drug were moderately associated with the occurrence of VTE in elderly patients with femoral neck fracture ( P<0.10). Multivariable stepwise logistic regression analysis demonstrated that female gender ( OR=2.26, 95% CI 1.34, 3.80, P<0.01), time from fracture to admission>1 day ( OR=3.70, 95% CI 2.24, 6.12, P<0.01), surgical waiting time>70 hours ( OR=2.06, 95% CI 1.29, 3.30, P<0.01), previous cerebral infarction ( OR=3.78, 95% CI 1.04, 13.76, P<0.05), stroke within the past month ( OR=11.57, 95% CI 1.21, 110.44, P<0.05), Alzheimer′s disease ( OR=3.26, 95% CI 1.12, 9.49, P<0.05), primary Parkinson ′s syndrome ( OR=3.47, 95% CI 1.22, 9.85, P<0.05), previous hysterectomy with bilateral adnexectomy ( OR=4.75, 95% CI 2.09, 10.80, P<0.01), perioperative electrolyte disorders ( OR=2.73, 95% CI 1.39, 5.35, P<0.01), and preoperative oral anticoagulant use ( OR=3.86, 95% CI 1.18, 12.67, P<0.05) were significantly associated with the occurrence of perioperative VTE in elderly patients with femoral neck fracture. Based on the above 10 risk factors, a perioperative VTE risk predictive model for elderly patients with femoral neck fracture was constructed with the Harvard cancer index. The formula was as follows: X=[10×(female gender)+25×(time from fracture to admission>1 day)+10×(surgical waiting time>70 hours)+25×(previous cerebral infarction)+50×(stroke within the past month)+25×(Alzheimer′s disease)+25×(primary Parkinson′s disease)+25×(previous hysterectomy with bilateral adnexectomy)+10×(perioperative electrolyte disorders)+25×(preoperative use of oral anticoagulant drug)]/33. Individualized VTE risk was classified into five levels: very low, low, moderate, high, and very high, with corresponding VTE rates of 4.8%, 11.8%, 14.9%, 32.3%, and 73.5%, respectively ( χ2=87.71, P<0.01). The VTE risk predictive model demonstrated an AUC of 0.74 (95% CI 0.69, 0.79, P<0.01), with a sensitivity of 63.2% and specificity of 74.8%. The H-L goodness-of-fit test indicated satisfactory model calibration ( P>0.05). The internal validation with the bootstrap method confirmed that the AUC remained 0.74. Conclusions:Female gender, time from fracture to admission>1 day, surgical waiting time>70 hours, previous cerebral infarction, stroke within the past month, Alzheimer′s disease, primary Parkinson′s syndrome, hysterectomy with bilateral adnexectomy, perioperative electrolyte disorders, and preoperative use of oral anticoagulant drug are independent risk factors for perioperative VTE in elderly patients with femoral neck fracture. Based on these factors, the perioperative VTE risk predictive model constructed using the Harvard cancer index demonstrates good clinical predictive value. Individualized VTE risk stratification can effectively identify high-, intermediate-, and low-risk populations, providing a valuable reference for tailoring anticoagulant prophylaxis strategies and enhancing postoperative surveillance.

Objective:To construct a Harvard cancer index-based risk predictive model for perioperative venous thromboembolism (VTE) in elderly patients with femoral neck fracture and assess its predictive effectiveness.Methods:A retrospective cohort study was conducted to analyze the clinical data of 610 elderly patients with femoral neck fracture admitted to Peking Union Medical College Hospital between January 2013 and December 2022, including 193 males and 417 females, aged 60-99 years [(77.3±9.0)years]. The patients were divided into VTE group ( n=125) and non-VTE group ( n=485) according to occurrence of VTE during the perioperative period. The two groups were compared in terms of gender, age, body mass index, smoking status, alcohol consumption, time from fracture to admission, surgical waiting time, comorbidities, perioperative electrolyte disorders, past or present history of malignancy, past history of deep vein thrombosis (DVT) or pulmonary embolism (PE), and preoperative use of oral anticoagulants. Univariate analysis and multivariable stepwise Logistic regression analysis were conducted to evaluate and identify independent risk factors for perioperative VTE in elderly patients with femoral neck fracture. A perioperative VTE risk predictive model for elderly patients with femoral neck fracture was constructed using the Harvard cancer index: (1) assigning a risk score to each variable according to the corresponding conversion criteria of the Harvard cancer index and risk score, based on the magnitude of their ORs; (2) determining the exposure rate of each risk factor based on the population distribution observed in this study; (3) calculating the average population risk score; (4) computing the individual VTE risk score; (5) deriving the ratio (X) of each individual ′s VTE risk score to the population average. Based on the Harvard cancer index classification criteria for disease risk levels, individual VTE risk categories were determined. The predictive performance of the risk stratification was evaluated by comparing the incidence of VTE across different risk levels. The predictive performance of the model was evaluated based on sensitivity, specificity, and the area under the receiver operating characteristic (ROC) curve (AUC). The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) test and internal validation was performed using the bootstrap resampling method with 1000 iterations. Results:Univariate analysis showed that gender, age, time from fracture to admission, surgical waiting time, previous cerebral infarction, stroke within the past month, Alzheimer′s disease, primary Parkinson′s syndrome, hysterectomy with bilateral adnexectomy, perioperative electrolyte disorders, history of DVT or PE, and preoperative use of oral anticoagulant drug were moderately associated with the occurrence of VTE in elderly patients with femoral neck fracture ( P<0.10). Multivariable stepwise logistic regression analysis demonstrated that female gender ( OR=2.26, 95% CI 1.34, 3.80, P<0.01), time from fracture to admission>1 day ( OR=3.70, 95% CI 2.24, 6.12, P<0.01), surgical waiting time>70 hours ( OR=2.06, 95% CI 1.29, 3.30, P<0.01), previous cerebral infarction ( OR=3.78, 95% CI 1.04, 13.76, P<0.05), stroke within the past month ( OR=11.57, 95% CI 1.21, 110.44, P<0.05), Alzheimer′s disease ( OR=3.26, 95% CI 1.12, 9.49, P<0.05), primary Parkinson ′s syndrome ( OR=3.47, 95% CI 1.22, 9.85, P<0.05), previous hysterectomy with bilateral adnexectomy ( OR=4.75, 95% CI 2.09, 10.80, P<0.01), perioperative electrolyte disorders ( OR=2.73, 95% CI 1.39, 5.35, P<0.01), and preoperative oral anticoagulant use ( OR=3.86, 95% CI 1.18, 12.67, P<0.05) were significantly associated with the occurrence of perioperative VTE in elderly patients with femoral neck fracture. Based on the above 10 risk factors, a perioperative VTE risk predictive model for elderly patients with femoral neck fracture was constructed with the Harvard cancer index. The formula was as follows: X=[10×(female gender)+25×(time from fracture to admission>1 day)+10×(surgical waiting time>70 hours)+25×(previous cerebral infarction)+50×(stroke within the past month)+25×(Alzheimer′s disease)+25×(primary Parkinson′s disease)+25×(previous hysterectomy with bilateral adnexectomy)+10×(perioperative electrolyte disorders)+25×(preoperative use of oral anticoagulant drug)]/33. Individualized VTE risk was classified into five levels: very low, low, moderate, high, and very high, with corresponding VTE rates of 4.8%, 11.8%, 14.9%, 32.3%, and 73.5%, respectively ( χ2=87.71, P<0.01). The VTE risk predictive model demonstrated an AUC of 0.74 (95% CI 0.69, 0.79, P<0.01), with a sensitivity of 63.2% and specificity of 74.8%. The H-L goodness-of-fit test indicated satisfactory model calibration ( P>0.05). The internal validation with the bootstrap method confirmed that the AUC remained 0.74. Conclusions:Female gender, time from fracture to admission>1 day, surgical waiting time>70 hours, previous cerebral infarction, stroke within the past month, Alzheimer′s disease, primary Parkinson′s syndrome, hysterectomy with bilateral adnexectomy, perioperative electrolyte disorders, and preoperative use of oral anticoagulant drug are independent risk factors for perioperative VTE in elderly patients with femoral neck fracture. Based on these factors, the perioperative VTE risk predictive model constructed using the Harvard cancer index demonstrates good clinical predictive value. Individualized VTE risk stratification can effectively identify high-, intermediate-, and low-risk populations, providing a valuable reference for tailoring anticoagulant prophylaxis strategies and enhancing postoperative surveillance.

Objective:To investigate the influencing factors of adverse reactions of reconstructive flaps after postoperative precision radiation therapy for head and neck tumors.Methods:Medical records of 46 patients who underwent radiotherapy after flap reconstruction for head and neck tumors in the Affiliated Hospital of Inner Mongolia Medical University between January 2016 and October 2022 were retrospectively analyzed. The overall survival (OS), local regional control (LRC) and dosimetric parameters after radiotherapy were analyzed. The adverse reactions mainly including radiation dermatitis and flap necrosis at 3 and 6 months after radiotherapy, flap atrophy, flap fibrosis, dysphagia and chewing dysfunction at 12 and 24 months after radiotherapy were recorded. Adverse reactions were graded using the common terminology criteria for adverse events (CTCAE) version 5.0. Quantitative data were analyzed by one-way analysis of variance or rank-sum test. Qualitative data were analyzed by chi-square test or Fisher's exact test. Multivariate analysis of influencing factors of adverse reactions was performed using binary logistic stepwise regression.Results:All 46 patients were aged 57.6 years on average. The median follow-up time was 65 months (12-100 months). After the follow-up, 22 patients died, 6 recurred, and 7 had distant metastases. The 5-year OS rate was 48% and 5-year LRC rate was 69%. The incidence of radiation dermatitis was decreased over time after the end of radiotherapy: 80% (37/46) and 65% (30/46) at 3 months and 6 months after radiotherapy, respectively. The incidence of grade 3 radiation dermatitis was 11% (5/46) and 0 at 3 and 6 months after radiotherapy, respectively. The incidence of grade 2 flap necrosis was 4% (2/46) at 3 months after radiotherapy. At 12 months after radiotherapy, the incidence of flap atrophy and fibrosis was 83% (38/46) and 67% (31/46) , and the incidence of grade 3 flap atrophy and fibrosis was equally 4% (2/46) , respectively. All patients had dysphagia and chewing dysfunction at 12 months after radiotherapy. At 24 months after radiotherapy, 83% (38/46) and 61% (28/46) of patients still had dysphagia and chewing dysfunction. Multivariate regression analysis showed that irradiated flap volume, total radiotherapy dose, pharyngeal constrictor D mean and pharyngeal constrictor V 60 Gy, the interval between surgery and radiotherapy, gender and age were the independent influencing factors of adverse reactions of reconstructive flaps after precision radiation therapy for head and neck tumors. Conclusions:For patients undergoing flap reconstruction for head and neck tumors, under the premise of ensuring tumor control, the dose to normal tissue and flap blood supply area should be strictly limited, the irradiated volume should be reduced, and the interval between surgery and radiotherapy should be shortened (≤6 weeks) to reduce the risk of adverse reactions. Hypo-fractionated radiotherapy plan should be formulated or the total radiotherapy dose should be appropriately adjusted for elderly patients to reduce long-term complications.

Postoperative pain is a common clinical phenomenon,and patient-controlled analgesia(PCA)is currently the most widely used and optimal analgesic method.Postoperative follow-up can guide pa-tients in the correct use of PCA,thereby effectively alleviating postoperative pain.To date,there has been no expert consensus or guideline to standardize clinical practices in this regard.To address this gap,Peking Union Medical College Hospital,Chinese Academy of Medical Sciences&Peking Union Medical College,China-Japan Friendship Hospital,and the Clinical Anesthesia Quality Management Group of the Chinese Society of Anesthesiology jointly initiated and organized a panel of clinicians and nurses specializing in postoperative pain management and research to develop the Expert Consensus on Postoperative Patient-controlled Analgesia Follow-up in Adults(2025).Based on the latest evidence-based data and expert clinical experience,this consensus provides preliminary recommendations in three key areas:the composition of the Patient-controlled Analgesia follow-up team,suitable patient populations,and follow-up and nursing care.It aims to offer valuable guidance for the standardized management of PCA in postoperative patients.

Objective:To investigate the influencing factors of adverse reactions of reconstructive flaps after postoperative precision radiation therapy for head and neck tumors.Methods:Medical records of 46 patients who underwent radiotherapy after flap reconstruction for head and neck tumors in the Affiliated Hospital of Inner Mongolia Medical University between January 2016 and October 2022 were retrospectively analyzed. The overall survival (OS), local regional control (LRC) and dosimetric parameters after radiotherapy were analyzed. The adverse reactions mainly including radiation dermatitis and flap necrosis at 3 and 6 months after radiotherapy, flap atrophy, flap fibrosis, dysphagia and chewing dysfunction at 12 and 24 months after radiotherapy were recorded. Adverse reactions were graded using the common terminology criteria for adverse events (CTCAE) version 5.0. Quantitative data were analyzed by one-way analysis of variance or rank-sum test. Qualitative data were analyzed by chi-square test or Fisher's exact test. Multivariate analysis of influencing factors of adverse reactions was performed using binary logistic stepwise regression.Results:All 46 patients were aged 57.6 years on average. The median follow-up time was 65 months (12-100 months). After the follow-up, 22 patients died, 6 recurred, and 7 had distant metastases. The 5-year OS rate was 48% and 5-year LRC rate was 69%. The incidence of radiation dermatitis was decreased over time after the end of radiotherapy: 80% (37/46) and 65% (30/46) at 3 months and 6 months after radiotherapy, respectively. The incidence of grade 3 radiation dermatitis was 11% (5/46) and 0 at 3 and 6 months after radiotherapy, respectively. The incidence of grade 2 flap necrosis was 4% (2/46) at 3 months after radiotherapy. At 12 months after radiotherapy, the incidence of flap atrophy and fibrosis was 83% (38/46) and 67% (31/46) , and the incidence of grade 3 flap atrophy and fibrosis was equally 4% (2/46) , respectively. All patients had dysphagia and chewing dysfunction at 12 months after radiotherapy. At 24 months after radiotherapy, 83% (38/46) and 61% (28/46) of patients still had dysphagia and chewing dysfunction. Multivariate regression analysis showed that irradiated flap volume, total radiotherapy dose, pharyngeal constrictor D mean and pharyngeal constrictor V 60 Gy, the interval between surgery and radiotherapy, gender and age were the independent influencing factors of adverse reactions of reconstructive flaps after precision radiation therapy for head and neck tumors. Conclusions:For patients undergoing flap reconstruction for head and neck tumors, under the premise of ensuring tumor control, the dose to normal tissue and flap blood supply area should be strictly limited, the irradiated volume should be reduced, and the interval between surgery and radiotherapy should be shortened (≤6 weeks) to reduce the risk of adverse reactions. Hypo-fractionated radiotherapy plan should be formulated or the total radiotherapy dose should be appropriately adjusted for elderly patients to reduce long-term complications.

The Peking Union Medical College School of Nursing has been dedicated to exploring the education of undergraduate students specializing in geriatric nursing since 2016. Through seven years of exploration and practice, aiming at the pain points and difficulties in the process of cultivating geriatric nursing students, the teaching team has developed a progressive and modular curriculum system, with the goal of training geriatric nursing professionals with specialized knowledge and practical innovation abilities, on the platform of a seamless teaching practice base connecting settings from laboratory to community/elderly care institutions/hospital to society, with an emphasis on the integration of ideological and political education with geriatric nursing education. Moreover, a specialized faculty team has been established. This course serves as a model for nurturing excellent nursing professionals possessing the right values and outlook on life as well as ability to cope with the national challenges posed by aging populations.

Objective:To evaluate the application of mind mapping in combination with scenario simulation teaching based on symptom management theory (SMT) in geriatric symptom nursing education, and to provide a basis for improving the quality of geriatric symptom nursing education.Methods:A total of 80 nursing students who interned in the Department of Geriatric Medicine of Peking Union Medical College Hospital from August 2022 to April 2023 were included in the study. They were divided into control group and experimental group according to the order of enrollment, with 40 students in each group. The control group employed traditional teaching methods, while the experimental group implemented a method of mind mapping in combination with scenario simulation teaching based on SMT. The general data, training assessment results, and teaching quality satisfaction were compared and analyzed between the two groups. SPSS 22.0 statistical software was used for t-test and chi-square test. Results:There were no significant differences between the two groups in general data such as age, gender, educational background, academic performance, and school of study. The experimental group showed higher scores in geriatric symptom nursing theory assessment [(86.57±8.41) vs. (80.83±9.16), P=0.018] and comprehensive skill assessment [(91.26±7.29) vs. (81.92±8.64), P<0.001], as compared with the control group. The experimental group also showed higher scores in teaching process [(24.52±1.56) vs. (20.18±0.98), P<0.001], teaching methods [(24.49±1.72) vs. (20.65±1.02), P<0.001], teaching effectiveness [(24.35±1.19) vs. (20.01±0.86), P<0.001], teaching content [(24.31±1.83) vs. (20.27±1.21), P<0.001], and overall satisfaction [(97.67±2.80) vs. (81.11±2.53), P<0.001]. Conclusions:The method of mind mapping in combination with scenario simulation teaching based on SMT has a significant positive effect on geriatric symptom nursing education. This method can improve the theoretical and comprehensive skill levels as well as the teaching quality satisfaction of nursing interns.

Objective:Analysis of the influencing factors of maternal oral health care behavior based on the health belief model.Methods:From July to December 2023, a cross-sectional survey was conducted in Peking Union Medical College Hospital on 316 pregnant women who received the health belief questionnaire and self-efficacy scale。 t test and χ2 test were used to analyze the factors affecting the oral health care behavior of pregnant women from the perspective of social psychology. Results:Among the 316 pregnant women included, 110(34.8%) had poor daily oral health care behavior, 120 (38.1%)did not have oral examination before or during pregnancy. The health beliefs of pregnant women in overall oral care were not high, with a score of 6.63+3.23, Median score is 7 (5).Perceived susceptibility to oral diseases ( OR=1.51, 95% CI:1.026-2.213), self-efficacy of daily living ( OR=2.64, 95% CI: 1.384-5.040), self-efficacy of oral examination ( OR=1.74, 95% CI:1.184-2.570) were independent factors of daily oral health care behavior in pregnant women. Health motivation ( OR=2.47, 95% CI:1.474-4.126) and self-efficacy of oral examination ( OR=4.17, 95% CI:2.626-6.619) were independent factors of oral examination behavior before and during pregnancy. Conclusion:Health beliefs of maternal oral health, especially perceived susceptibility, health motivation and self-efficacy are closely related to maternal oral health care behaviors. To improve the health belief and self-efficacy of pregnant women′s oral health care and avoid potential obstacles, which could be conducive to the effective promotion of oral health care for pregnant women.