Objective To propose a framework for risk assessment and stepwise management of pulmonary nodules based on existing guidelines and key studies, and to clarify the boundaries for triage, workup escalation, and referral in different detection scenarios. Methods A problem-oriented evidence synthesis approach was used, prioritizing Chinese expert consensus, Fleischner Society Guidelines, British Thoracic Society (BTS) Guidelines, and Lung-RADS. This was supplemented by studies on risk models, imaging measurements, liquid biopsy, tissue sampling, and surgical treatments. This paper is not presented as a formal consensus or a validated clinical pathway. Results A three-tiered framework consisting of basic non-invasive assessment, advanced assessment, and invasive diagnosis was established. It specified the applicable populations, boundaries for the use of risk models, imaging review, management of conflicting results, evaluation of histopathological consistency, and post-intervention follow-up. Liquid biopsy, genetic testing, and artificial intelligence were defined as investigational or adjunctive tools. Conclusion This framework can serve as a preliminary reference for multidisciplinary teams in developing local protocols. It cannot replace applicable guidelines, pathological diagnosis, shared decision-making with patients, or real-world validation.

Objective:To construct an inpatient-outpatient-home step swallowing rehabilitation training program for partial laryngectomy patients.Methods:From June 2022 to May 2023, a preliminary program for inpatient-outpatient-home step swallowing rehabilitation training for partial laryngectomy patients was developed through literature search and analysis. Delphi method was used for two rounds of expert inquiry on the inpatient-outpatient-home step swallowing rehabilitation training program for partial laryngectomy patients.Results:A total of 15 experts were included for two rounds of expert inquiry. The effective response rates of the questionnaires from the two rounds of expert inquiries were 100.0% (15/15). The expert authority coefficients for the two rounds of inquiry were 0.885 and 0.855, respectively, and the Kendall harmony coefficients were 0.217 and 0.230, respectively ( P<0.01). The final inpatient-outpatient-home step swallowing rehabilitation training program for partial laryngectomy patients included three primary items (swallowing training step, swallowing training methods, and feeding guidance methods), 21 secondary items, and 35 tertiary items. Conclusions:The inpatient-outpatient-home step swallowing rehabilitation training program for partial laryngectomy patients based on the Delphi method has certain scientific and feasibility and can provide a reference for medical and nursing staff.

Objective:To analyze the pollution characteristics and source of fine particulate matter (PM 2.5) in Shenzhen and Taiyuan, two cities in the north and south of China. Methods:PM 2.5 samples were collected from the year of 2017 to 2018. The levels of 10 heavy metal elements (Pb, Al, As, etc.) , 10 water soluble ions (F -, Cl -, SO 42-, etc.) and 16 polycyclic aromatic hydrocarbons (PAHs) (Nap, Acy, Ace, etc.) in PM 2.5 were detected by inductively coupled plasma mass spectrometry (ICP-MS) , ion Chromatography and high Performance Liquid Chromatography respectively. USA commercial carbon analysis was applied to detect organic carbon (OC) and elemental carbon (EC) . Source of PM 2.5 was analyzed by Factor analysis method. Results:The concentrations of Pb, Mn, As, Ni, F -, OC and EC in PM 2.5 of Taiyuan city were significantly higher than those of Shenzhen City, and the concentrations of Na +, Cl -, and PO 43- were lower than those of Shenzhen City ( P<0.05) . Except naphthalene, the concentrations of PAHs in PM 2.5 of Taiyuan city were higher than those of Shenzhen City ( P<0.05) . The main sources of metal elements and water soluble ions in PM 2.5 in Shenzhen included: industry/vehicle exhaust factor (42.64%) , construction/soil factor (34.22%) and ocean factor (17.93%) . PAHs in PM 2.5 in Shenzhen mostly came from fuel oil/vehicle exhaust factor (38.58%) , coal combustion factor (30.78%) and biomass combustion factor (24.38%) . Differently, the main sources of metal elements and water soluble ions in PM 2.5 in Taiyuan included: construction factor (30.26%) , fuel oil and coal combustion factor (24.58%) , secondary particles/soil factor (22.03%) and industry factor (18.89%) . PAHs in PM 2.5 were from fuel oil/vehicle exhaust factor (54.71%) and coal combustion factor (43.54%) in Taiyuan. Conclusion:The sources of PM 2.5 pollution are different between Shenzhen and Taiyuan, the occupational health management must be continuously strengthened, measures should be strengthened contrapuntally on the basis of different pollution sources.

Objective:To analyze the pollution characteristics and source of fine particulate matter (PM 2.5) in Shenzhen and Taiyuan, two cities in the north and south of China. Methods:PM 2.5 samples were collected from the year of 2017 to 2018. The levels of 10 heavy metal elements (Pb, Al, As, etc.) , 10 water soluble ions (F -, Cl -, SO 42-, etc.) and 16 polycyclic aromatic hydrocarbons (PAHs) (Nap, Acy, Ace, etc.) in PM 2.5 were detected by inductively coupled plasma mass spectrometry (ICP-MS) , ion Chromatography and high Performance Liquid Chromatography respectively. USA commercial carbon analysis was applied to detect organic carbon (OC) and elemental carbon (EC) . Source of PM 2.5 was analyzed by Factor analysis method. Results:The concentrations of Pb, Mn, As, Ni, F -, OC and EC in PM 2.5 of Taiyuan city were significantly higher than those of Shenzhen City, and the concentrations of Na +, Cl -, and PO 43- were lower than those of Shenzhen City ( P<0.05) . Except naphthalene, the concentrations of PAHs in PM 2.5 of Taiyuan city were higher than those of Shenzhen City ( P<0.05) . The main sources of metal elements and water soluble ions in PM 2.5 in Shenzhen included: industry/vehicle exhaust factor (42.64%) , construction/soil factor (34.22%) and ocean factor (17.93%) . PAHs in PM 2.5 in Shenzhen mostly came from fuel oil/vehicle exhaust factor (38.58%) , coal combustion factor (30.78%) and biomass combustion factor (24.38%) . Differently, the main sources of metal elements and water soluble ions in PM 2.5 in Taiyuan included: construction factor (30.26%) , fuel oil and coal combustion factor (24.58%) , secondary particles/soil factor (22.03%) and industry factor (18.89%) . PAHs in PM 2.5 were from fuel oil/vehicle exhaust factor (54.71%) and coal combustion factor (43.54%) in Taiyuan. Conclusion:The sources of PM 2.5 pollution are different between Shenzhen and Taiyuan, the occupational health management must be continuously strengthened, measures should be strengthened contrapuntally on the basis of different pollution sources.