Evidence map›Paper›PMID 42381161›Full record

ArticleJournal of evidence-based medicine2026

Publication Characteristics and Reporting Quality of GBD-Derived Burden of Disease Studies: A Cross-Sectional Analysis of Lung Cancer.

Min Meng, Min Tian, Jieyu Wang, Jiao Zhou, Zhuoxin Xu, Yaolong Chen, Jinhui Tian, Hui Cai

Abstract read
In one paragraph

Article in Journal of evidence-based medicine, 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
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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

8 authors.

Min MengNHC Key Laboratory of Diagnosis and Therapy of Gastrointestinal Tumor, Gansu Provincial Hospital, Lanzhou, China.
Min TianEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Jieyu WangSchool of Pharmacy, Gansu University of Chinese Medicine, Lanzhou, China.
Jiao ZhouSchool of Pharmacy, Gansu University of Chinese Medicine, Lanzhou, China.
Zhuoxin XuSchool of Pharmacy, Gansu University of Chinese Medicine, Lanzhou, China.
Yaolong ChenEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Jinhui TianEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Hui CaiNHC Key Laboratory of Diagnosis and Therapy of Gastrointestinal Tumor, Gansu Provincial Hospital, Lanzhou, China.

Funding

Health Commission of Gansu Province 2026SWJWRC001National Natural Science Foundation of China 82360498Science and Technology Department of Gansu Province 23JRRA1537
6 · The paper itself

Abstract

aimUsing lung cancer as a model disease, we systematically analyzed the publication characteristics and reporting quality of burden of disease (BoD) studies derived from the Global Burden of Disease (GBD) Database, to provide evidence for standardizing high-quality BoD research.

methodsA cross-sectional study was conducted. We included GBD-derived lung cancer BoD studies and evaluated reporting quality using 17 core items of the STROBOD Statement. Univariable and multivariable linear regression models were used to explore factors associated with reporting completeness.

resultsA total of 32 studies showed that the number of publications increased significantly since 2025, with repetitive research topics. Evaluation of the 17 core items in the STROBOD Statement revealed that 88.2% (15/17) of the items had reporting deficiencies. The number of reported core items was 11.19 ± 1.67, and none of the included studies reported all of them. The reporting quality of English studies was significantly higher than that of Chinese studies (p < 0.01).

conclusionsGBD-derived lung cancer BoD studies present severe topic homogeneity and suboptimal reporting quality. Developing tailored reporting guidelines is urgently needed to improve the transparency and reliability of BoD research.

Indexed as

Global Burden of DiseaseLung NeoplasmsCross-Sectional StudiesDatabases, FactualHumansdisease burdenGBD databaselung cancerreporting qualitySTROBOD statement

Identifiers

PMID42381161
PMCPMC13320103

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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.