Evidence map›Paper›PMID 28834876›Full record

SynthesisMedicine2017

Associations between body mass index and the risk of mortality from lung cancer: A dose-response PRISMA-compliant meta-analysis of prospective cohort studies.

Ning Shen, Ping Fu, Bin Cui, Chun-Ying Bu, Jing-Wang Bi

Abstract readMeta-Analysis
In one paragraph

Synthesis in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
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  7. Observational
  8. Review
  9. Article
  10. A paradox or a challenge?Journal of thoracic disease · 2019
    Article
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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

5 authors.

Ning ShenDepartment of Oncology, Jinan Military General Hospital, Jinan, Shandong, China Department of Oncology, Zhangqiu People's Hospital, Jinan, Shandong, China Department of Internal Medicine, Zhangqiu People's Hospital, Jinan, Shandong, China.
Ping Fu
Bin Cui
Chun-Ying Bu
Jing-Wang Bi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhether body mass index (BMI) is associated with the risk of mortality from lung cancer (LC) is controversial, and the shape of dose-response relationship on this topic is not well-established. Thus, a dose-response meta-analysis was performed to clarify this association.

methodsA search of PubMed and EMBASE was conducted, and 2-stage random-effect dose-response model was used to yield summary relative risks and its shape.

resultsFifteen prospective cohort studies were eligible for inclusion criteria. The combined relative risks per 5 kg/m in BMI for risk of LC mortality is 0.94 (95% confidence interval] 0.92-0.96), and nonlinear association was found (Pnonlinearity < .0001), which indicated that compared with higher BMI, lower BMI showed higher LC mortality risk. Subgroup analyses revealed that this obesity paradox remained regardless of number of cases, follow-up duration, and study location, but this relationship was not observed among nonsmokers.

conclusionA nonlinear association between BMI and the risk of LC mortality was found, and higher BMI participants have a lower risk of LC death than slim people.

Indexed as

Body Mass IndexFemaleHumansLung NeoplasmsMaleOverweightProspective StudiesRisk FactorsSmokingThinness

Identifiers

PMID28834876
PMCPMC5571998

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.