Evidence map›Paper›PMID 28635950›Full record

SynthesisEuropean journal of human genetics : EJHG2017

Genetically predicted high body mass index is associated with increased gastric cancer risk.

Yingying Mao, Caiwang Yan, Qun Lu, Meng Zhu, Fei Yu, Cheng Wang, Juncheng Dai, Hongxia Ma, Zhibin Hu, Hongbing Shen and 1 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in European journal of human genetics : EJHG, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
2.7field-weighted citation impact, top 10% of its field
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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Evaluation of polygenic risk score for risk prediction of gastric cancer.World journal of gastrointestinal oncology · 2023
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. The genetics of adiposity.Current opinion in genetics & development · 2018
    Review
  16. 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

11 authors at 3 institutions in 1 country.

Yingying MaoDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Caiwang YanDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Qun LuDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Meng ZhuDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Fei YuDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Cheng WangDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Juncheng DaiDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID 0000-0002-3909-5671
Hongxia MaDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Zhibin HuDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Hongbing ShenDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Guangfu JinDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Nanjing Medical University · CNJiangsu Cancer Hospital · CNZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological studies have linked body mass index (BMI) with risk of gastrointestinal cancers. However, for gastric cancer, the relationship is more controversial. In particular, it is unclear whether the observed association is due to confounding or bias inherent in conventional observational studies. To investigate whether BMI is causally associated with gastric cancer risk, we applied Mendelian randomization using individual-level data from 2631 gastric cancer cases and 4373 cancer-free controls. We derived a weighted genetic risk score (wGRS) using 37 BMI-associated genetic variants as an instrumental variable. We used logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI) for associations between genetically predicted BMI and gastric cancer risk. We observed that higher genetically determined BMI was associated with increased gastric cancer risk (per standard deviation (SD) increase in the wGRS: OR=1.07, 95% CI: 1.02-1.13, P=4.94 × 10

Indexed as

Body Mass IndexBody WeightCase-Control StudiesFemaleHumansMaleMiddle AgedPolymorphism, Single NucleotideStomach Neoplasms

Identifiers

PMID28635950
PMCPMC5558171
OpenAlexW2706226831

What OpenQuestion holds

Textmetadata
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.