Evidence map›Paper›PMID 42020129›Full record

SynthesisBMJ open2026

Effects of nurse-led shared decision-making on low-dose CT uptake and screening outcomes in high-risk populations: a systematic review and meta-analysis.

Xiumei Tang, Tingqian Cao, Wenchong He, Li Ma, Weimin Li, Wenjuan Tao

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xiumei TangInstitute of Hospital Management, West China Hospital of Sichuan University, Chengdu, Sichuan, China.ORCID http://orcid.org/0000-0002-6086-4164
Tingqian CaoOutpatient Department, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Wenchong HeInstitute of Hospital Management, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Li MaInstitute of Hospital Management, West China Hospital of Sichuan University, Chengdu, Sichuan, China 1004500237@qq.com weimi003@scu.edu.cn wenjuan.tao@scu.edu.cn.ORCID http://orcid.org/0000-0003-0831-332X
Weimin LiInstitute of Respiratory Health, Frontiers Science Center for Disease-related Molecular Network, Sichuan University West China Hospital, Chengdu, Sichuan, China 1004500237@qq.com weimi003@scu.edu.cn wenjuan.tao@scu.edu.cn.ORCID http://orcid.org/0000-0003-0985-0311
Wenjuan TaoInstitute of Hospital Management, West China Hospital of Sichuan University, Chengdu, Sichuan, China 1004500237@qq.com weimi003@scu.edu.cn wenjuan.tao@scu.edu.cn.ORCID http://orcid.org/0000-0002-5926-2545

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the effects of nurse-led shared decision-making (SDM) on lung cancer screening outcomes, including low-dose CT (LDCT) uptake, benign findings, early cancer detection and willingness to participate among high-risk populations.

designSystematic review and meta-analysis. DATA SOURCES: PubMed, Medline via OvidSP, Cochrane Central Register of Controlled Trials, EMBASE via OvidSP, Web of Science, Scopus, grey literature databases and clinical trial registries were searched from inception to March 2025. ELIGIBILITY CRITERIA: Studies evaluating nurse-led SDM interventions in high-risk lung cancer populations, reporting outcomes including LDCT uptake rates, screening results (Lung-RADS (Lung Imaging Reporting and Data System) classifications), early-stage cancer detection or willingness to participate. Randomised controlled trials, quasi-experimental studies and observational studies were included. DATA EXTRACTION AND SYNTHESIS: Two reviewers independently extracted data and assessed risk of bias using the Risk of Bias in Non-randomised Studies of Interventions (for non-randomised studies) and Cochrane Risk of Bias 2.0 (for randomised controlled trials). Meta-analyses were conducted using random-effects models. Meta-regression explored sources of heterogeneity.

results13 studies (n=13 608 participants) were included, comprising 10 single-arm studies and three comparative studies. In single-arm studies without control groups, nurse-led SDM programmes achieved a pooled LDCT uptake rate of 98% (95% CI 28% to 100%; I²=99%), and willingness to participate was 68% (95% CI 24% to 93%; I²=98%). In comparative studies, nurse-led SDM showed no significant difference in LDCT uptake compared with usual care (RR 1.00, 95% CI 0.99 to 1.02; I²=0%), suggesting non-inferiority rather than superiority. Among individuals who completed screening, 81% (95% CI 77% to 85%) had benign or low-risk findings (Lung-RADS

conclusionsComparative evidence suggests that nurse-led SDM achieves equivalent LDCT uptake to standard care approaches, indicating feasibility as an alternative service delivery model. However, the predominance of single-arm studies, high heterogeneity and moderate-to-serious risk of bias limit causal inference. High uptake rates in single-arm studies likely reflect selection bias rather than intervention effectiveness. Current evidence supports the feasibility but not the superiority of nurse-led SDM. Well-designed randomised controlled trials are needed to establish comparative effectiveness and cost-effectiveness before recommending widespread integration of nurse-led SDM into lung cancer screening programmes. TRIAL REGISTRATION NUMBER: PROSPERO CRD420251033595. https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=1033595.

Indexed as

Decision Making, SharedEarly Detection of CancerLung NeoplasmsTomography, X-Ray ComputedHumansEarly Detection of CancerLung NeoplasmsSystematic Review

Identifiers

PMID42020129
PMCPMC13110605

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.