Evidence map›Paper›PMID 40081655›Full record

SynthesisChest2025

Interventions to Improve Adherence to Clinical Guidelines for the Management and Follow-Up of Pulmonary Nodules: A Systematic Review.

Justin Aunger, Kay Por Yip, Kamen Dosanjh, Katie Scandrett, Bianca Ungureanu, Michael Newnham, Alice M Turner

Abstract readSystematic Review
In one paragraph

Synthesis in Chest, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

7 authors.

Justin AungerDepartment of Applied Health Research, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, England. Electronic address: j.aunger@bham.ac.uk.
Kay Por YipDepartment of Applied Health Research, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, England.
Kamen DosanjhDepartment of Applied Health Research, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, England.
Katie ScandrettDepartment of Applied Health Research, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, England.
Bianca UngureanuDepartment of Applied Health Research, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, England.
Michael NewnhamDepartment of Applied Health Research, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, England.
Alice M TurnerDepartment of Applied Health Research, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, England; NIHR Midlands Patient Safety Research Collaboration, University of Birmingham, Birmingham, England.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is the leading cause of global cancer mortality. It is also the third most common cancer in the United Kingdom and the most prevalent worldwide. Pulmonary nodules can indicate early-stage lung cancer, but adherence to guidelines for radiologic surveillance is suboptimal, which affects early detection and treatment. Although interventions have been developed to improve follow-up, it remains unclear which approaches are most effective. RESEARCH QUESTION: Which interventions have been developed for improving adherence to guidelines for the management of pulmonary nodules and/or the follow-up of patients, and how effective are they? STUDY DESIGN AND

methodsA systematic review was conducted by searching the Ovid MEDLINE, Cochrane, and Embase databases in March 2024. Reports were included of interventions of all designs that measured outcomes, including follow-up completion, guideline adherence, or early diagnosis of lung cancer. Studies relating to diagnosis, reporting screening programs, or not in English were excluded. Screening and data extraction were performed independently. Risk of bias was assessed by using three measures depending on study design.

resultsA total of 3,664 titles and abstracts, including 31 studies, were identified. Six intervention types were identified: tracking systems, process improvement approaches, natural language processing systems, radiologist reporting templates, clinical decision-making support tools, and patient involvement improvements. All studies reported being effective. Tracking systems and clinical decision support tools showed significant improvements in follow-up, guideline adherence, and early cancer detection. Tracking systems may have the most potential for effectiveness because they modify more of the care pathway and use automation, reducing human error. Risk of bias was serious or critical in most nonrandomized studies.

interpretationOur results show that there was significant variation in achieved follow-up rates across interventions; however, tracking systems seemed most effective in improving patient follow-up. Review limitations included high risk of bias and heterogeneity of included studies. Future evaluations should include more comprehensive outcome measures and rigorous designs.

Indexed as

Guideline AdherenceLung NeoplasmsMultiple Pulmonary NodulesEarly Detection of CancerHumansPractice Guidelines as Topicguideline adherenceincidentalinterventionslung cancerpreventionpulmonary nodulessurveillance

Identifiers

PMID40081655
PMCPMC12264345

What OpenQuestion holds

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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.