Evidence map›Paper›PMID 25184215›Full record

SynthesisPloS one2014

Obesity affects the biopsy-mediated detection of prostate cancer, particularly high-grade prostate cancer: a dose-response meta-analysis of 29,464 patients.

Meng-Bo Hu, Sheng-Hua Liu, Hao-Wen Jiang, Pei-De Bai, Qiang Ding

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
3.4field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 52 citations in OpenAlex.

  1. Pooled it
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  11. Article
  12. The role of nutritional interventions in prostate cancer: A review.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2021
    Review
  13. Article
  14. Adipose Tissue, Obesity and Adiponectin: Role in Endocrine Cancer Risk.International journal of molecular sciences · 2019
    Review
  15. Article
  16. Obesity, Type-2 Diabetes and Cancer: Mechanistic Insights.Critical reviews in oncogenesis · 2019
    Review
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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 at 2 institutions in 1 country.

Meng-Bo HuDepartment of Urology, Huashan Hospital, Fudan University, Shanghai, China; Urology Research Institute, Fudan University, Shanghai, China.
Sheng-Hua LiuDepartment of Urology, Huashan Hospital, Fudan University, Shanghai, China; Urology Research Institute, Fudan University, Shanghai, China.
Hao-Wen JiangDepartment of Urology, Huashan Hospital, Fudan University, Shanghai, China; Urology Research Institute, Fudan University, Shanghai, China.
Pei-De BaiDepartment of Urology, Huashan Hospital, Fudan University, Shanghai, China; Urology Research Institute, Fudan University, Shanghai, China.
Qiang DingDepartment of Urology, Huashan Hospital, Fudan University, Shanghai, China; Urology Research Institute, Fudan University, Shanghai, China.
Fudan University · CNHuashan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesIn previous studies, obesity (measured according to the body mass index) has correlated inconsistently with the risk of biopsy-measured prostate cancer, and specifically high-grade prostate cancer. This meta-analysis aimed to clarify these correlations.

methodsA comprehensive literature search of the MEDLINE and EMBASE databases was conducted for relevant studies published through January 2014. The pooled estimates of odds ratios (OR) and confidence intervals (CI) were computed, and the meta-analysis was performed with the STATA software according to a random effects approach.

resultsA total of 11 studies that included 29,464 individuals were identified. A 5-kg/m2 increase in body mass index was associated with a 15% (OR, 1.15; 95% CI, 0.98-1.34) higher risk of prostate cancer detection and a 37% (OR, 1.37; 95% CI, 1.19-1.57) higher risk of high-grade prostate cancer detection at biopsy. There were no differences among the results of studies conducted in the USA, Europe or Asia. We also found that studies that had adjusted for prostate-specific antigen levels, digital rectal examination results, and prostate volumes obtained positive significant outcomes (OR, 1.27; 95% CI, 1.12-1.44), whereas studies that did not adjust for the above-mentioned confounding variables obtained negative results (OR, 0.92; 95% CI, 0.68-1.25). Moreover, the positive correlation between body mass index and the detection of both prostate cancer and high-grade diseases tended to be stronger as the number of biopsy cores increased.

conclusionThe present meta-analysis demonstrated that a high body mass index correlated positively with prostate cancer detection, especially high-grade prostate cancer detection. The adoption of a modified and possibly more aggressive biopsy strategy was suggested for obese populations.

Indexed as

BiopsyBody Mass IndexHumansMaleNeoplasm GradingObesityProstatic Neoplasms

Identifiers

PMID25184215
PMCPMC4153672
OpenAlexW2038111455

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.