Evidence map›Paper›PMID 39144359›Full record

ArticleJournal of thoracic disease2024

Prevalence and management of pulmonary nodules: a systematic review and meta-analysis.

Dan Chen, Liyun Yang, Wenhong Zhang, Jieyun Shen, Paul E Y Van Schil, Duilio Divisi, Nagarashee Seetharamu, Jie Gu

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  6. Early Individualized Psychological Intervention Using Virtual Reality-assisted Decision System Reduces Decisional Conflict in Patients with Pulmonary Nodules: A Randomized Controlled Trial.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2026
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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

8 authors.

Dan ChenInternational Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Liyun YangInternational Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Wenhong ZhangInternational Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Jieyun ShenShanghai Universal Medical Imaging Diagnostic Center, Shanghai University, Shanghai, China.
Paul E Y Van SchilDepartment of Thoracic and Vascular Surgery, Antwerp University Hospital, Edegem, Belgium.
Duilio DivisiDepartment of Life, Health and Environmental Sciences, University of L'Aquila, Thoracic Surgery Unit, "Giuseppe Mazzini" Hospital of Teramo, Teramo, Italy.
Nagarashee SeetharamuDivision of Medical Oncology and Hematology, Northwell Health Cancer Institute, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Lake Success, NY, USA.
Jie GuInternational Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary nodules are small, focal lesions often identified via computed tomography (CT) scans. Although the majority are benign, a small percentage of them may be malignant or potentially become malignant, underscoring the importance of early detection and effective management. This study systematically reviews the epidemiology, risk factors, and management strategies for pulmonary nodules, comparing findings across Chinese and non-Chinese populations to better inform the actuarial calculations for predicting the demand of medical services for patients with pulmonary nodules. Methods: We performed a systematic analysis of the PubMed and China Knowledge Infrastructure (CNKI) databases for studies reporting the detection rate of pulmonary nodules through CT scans. Both cross-sectional studies and the baseline data from longitudinal studies were included. A modified version of the Newcastle-Ottawa Scale was used to assess the risk of bias and random effect models were used to estimate the overall prevalence. Results: We identified 32 studies and included 24 of them in our meta-analysis. Pooled analysis showed that the overall prevalence of pulmonary nodules was 0.27 (95% confidence interval: 0.25-0.29) after outliers removal. Subgroup analysis showed that there was no significant difference for prevalence between Chinese and non-Chinese populations. Males (0.38) were shown to have slightly higher prevalence compared to females (0.36), but not significant (P=0.88). Age and smoking are the most frequently reported risk factors by studies. Conclusions: Overall, 27% of participants were positive for pulmonary nodules. Advancing age and smoking were consistently identified as a key risk factor for the incidence of pulmonary nodules. Although the management strategies are different across studies, recent guidelines recommend personalized management strategies, prioritizing nodule size, characteristics, and individual risk factors to optimize outcomes.

Indexed as

epidemiologymeta-analysispublic healthPulmonary nodules

Identifiers

PMID39144359
PMCPMC11320231

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.