OBJECTIVE To establish a Chinese drug-related problem （DRP） classification system applicable to pharmacist-led pharmaceutical care in China， providing pharmacists with an effective and practical tool for pharmaceutical care. METHODS A multi-stage process was employed to construct the DRP classification system， including literature review and analysis， comparison of existing classification systems， refinement of classification items and framework development， two rounds of standard case validation， expert discussion， and system revision. The Fleiss′ kappa test was used to calculate the consistency coefficient κ， assessing the reliability of pharmacists participating in evaluating the classification system. An electronic questionnaire comprising six items was employed to evaluate the system’s applicability. RESULTS The constructed Chinese DRP classification system comprised six sections [problem（including potential problems）， DRP evaluation， cause （including possible causes of potential problems）， intervention， acceptance of intervention and DRP status]， with 24 primary codes and 96 secondary codes. In the first round of case validation， κ values exceeded 0.4 for all sections except “intervention” and “DRP status”. In the second round， κ values exceeded 0.4 for all sections. In the applicability evaluation of the classification system， positive ratings （“strongly agree” or “agree”） exceeded 85% for all items. Specifically， positive ratings for“the classification system can provide appropriate category selection”，“ the classification system is comprehensive”，“ the classification system is convenient to use” and “the classification system is highly satisfactory” exceeded 92%. CONCLUSIONS The Chinese DRP classification system developed demonstrates both high reliability and applicability， providing an effective and practical classification tool for pharmacists in China to conduct pharmaceutical care.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Peri-implant keratinized mucosa (PIKM) augmentation refers to surgical procedures aimed at increasing the width of PIKM. Consensus reports emphasize the necessity of maintaining a minimum width of PIKM to ensure long-term peri-implant health. Currently, several surgical techniques have been validated for their effectiveness in increasing PIKM. However, the selection and application of PIKM augmentation methods may present challenges for dental practitioners due to heterogeneity in surgical techniques, variations in clinical scenarios, and anatomical differences. Therefore, clear guidelines and considerations for PIKM augmentation are needed. This expert consensus focuses on the commonly employed surgical techniques for PIKM augmentation and the factors influencing their selection at second-stage surgery. It aims to establish a standardized framework for assessing, planning, and executing PIKM augmentation procedures, with the goal of offering evidence-based guidance to enhance the predictability and success of PIKM augmentation.
Humans ; Consensus ; Dental Implants ; Mouth Mucosa/surgery* ; Keratins

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To investigate the abnormal fluctuation of coagulation function indicators in pediatric Burkitt lymphoma patients, and to analyze its correlation with disease progression and prognosis. Methods: The data of 172 children with Burkitt lymphoma in Children's Medical Center, Shanghai Jiao Tong University School of Medicine from January 2020 to December 2023 were retrospectively analyzed, and 120 healthy children were used as control group. Plasma prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time (TT), fibrinogen (Fib), International standardized ratio (INR), D-dimer (D-D), fibrinogen degradation products (FDP), and antithrombin (AT) were measured. Appropriate statistical methods were used to compare the data between two groups, and the Cox regression model was employed to analyze the influencing factors. A P-value <0.05 was considered statistically significant. Results: Levels of D-D, FDP, INR, and PT were significantly higher in children with Burkitt lymphoma than in the healthy controls [median (P25, P75) for the case group: 0.35 (0.13, 1.22), 3.10 (1.30, 10.20), 1.16 (1.06, 1.24), 12.60 (11.43, 13.50); median (P25, P75) for the healthy control group: 0.10 (0.07, 0.15), 0.60 (0.20, 1.08), 1.06 (1.02, 1.13), 11.50 (11.00, 12.30)](P<0.05). Levels of D-D, FDP, INR, PT, and TT were significantly elevated in children with recurrence compared to those without recurrence [median (P25, P75) for the recurrent group: 0.44 (0.16, 1.42), 3.85 (1.50, 12.25), 1.17 (1.08, 1.24), 12.70 (11.73, 13.50), 16.20 (14.80, 17.80); median (P25, P75) for the non-recurrent group: 0.21 (0.11, 0.69), 2.00 (1.00, 6.85), 1.11 (1.03, 1.24), 11.90 (11.10, 13.43), 15.20 (14.50, 16.40)](P<0.05). Levels of D-D, FDP in children with metastasis were significantly higher than those without metastasis [median (P25, P75) for the metastatic group: 0.51 (0.17, 1.84), 4.38 (1.70, 13.45); median (P25, P75) for the non-metastatic group: 0.20 (0.11, 0.39), 1.50 (1.00, 3.10)] (P<0.05). Levels of D-D and FDP were significantly higher in children with advanced stage than in those with early stage [median (P25, P75) for the high-stage group: 0.33 (0.14, 1.20), 3.10 (1.40, 10.23); median (P25, P75) for the low-stage group: 0.12 (0.08, 0.24), 0.90 (0.50, 2.50)] (P<0.05). Levels of D-D and FDP in high-risk children were significantly higher than those of low-risk [median (P25, P75) for the high-risk group: 0.28 (0.13, 1.01), 2.90 (1.15, 9.65); median (P25, P75) for the low-risk group: 0.12 (0.08, 0.17), 0.80 (0.43, 1.98)] (P<0.05). Levels of D-D, FDP, INR, and PT were significantly higher in children with poor prognosis than in those with favorable prognosis [median (P25, P75) for the poor prognosis group: 1.76 (0.80, 2.72), 13.45 (7.20, 25.30), 1.19 (1.12, 1.32), 12.85 (12.10, 14.35); median (P25, P75) for the favorable prognosis group: 0.23 (0.12, 0.52), 2.00 (1.00, 4.80), 1.14 (1.05, 1.23), 12.30 (11.40, 13.40)] (P<0.05). INR levels significantly increased with accumulating chemotherapy cycles [median (P25, P75) for one session: 1.09 (1.02, 1.20); two sessions: 1.31 (1.23, 1.38); three sessions: 1.79 (1.52, 2.41)] (P<0.05). Age, APTT, D-D, FDP, INR, PT, recurrence and metastasis had a significant effect on the survival of children with Burkitt lymphoma (P<0.05). Conclusion: Patients with Burkitt lymphoma exhibit coagulation disorders, which are influenced by recurrence, metastasis, clinical stage, risk stratification, and prognosis. In clinical practice, it is crucial to prioritize the monitoring of coagulation indicators to facilitate timely detection of coagulation dysfunction.