Evidence map›Paper›PMID 22540252›Full record

SynthesisAnnual review of nutrition2012

Obesity in cancer survival.

Niyati Parekh, Urmila Chandran, Elisa V Bandera

Abstract readSystematic Review
In one paragraph

Synthesis in Annual review of nutrition, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 6 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

94 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Dietary fat in breast cancer survival.Annual review of nutrition · 2013
    Pooled it
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  9. Ethnic Mixture and Body Mass Index as Modifiers of Breast Cancer Risk among Native Hawaiian Women: Insights from the Multiethnic Cohort.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
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  14. Review
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34 more citing papers are in PubMed but not listed here.

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

3 authors.

Niyati ParekhDepartment of Nutrition, Food Studies and Public Health, New York University, New York, NY 10003, USA.
Urmila Chandran
Elisa V Bandera

Funding

Obesity in ovarian cancer prognosisK22CA138563 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI BANDERA, ELISA V · 2010 to 2012
$605k
NCI NIH HHS K22 CA138563NCI NIH HHS K22CA138563
6 · The paper itself

Abstract

Although obesity is a well-known risk factor for several cancers, its role on cancer survival is poorly understood. We conducted a systematic literature review to assess the current evidence evaluating the impact of body adiposity on the prognosis of the three most common obesity-related cancers: prostate, colorectal, and breast. We included 33 studies of breast cancer, six studies of prostate cancer, and eight studies of colo-rectal cancer. We note that the evidence overrepresents breast cancer survivorship research and is sparse for prostate and colorectal cancers. Overall, most studies support a relationship between body adiposity and site-specific mortality or cancer progression. However, most of the research was not specifically designed to study these outcomes and, therefore, several methodological issues should be considered before integrating their results to draw conclusions. Further research is urgently warranted to assess the long-term impact of obesity among the growing population of cancer survivors.

Indexed as

AdiposityBiomedical ResearchBreast NeoplasmsColorectal NeoplasmsFemaleHumansMaleNeoplasmsObesityPrognosisProstatic NeoplasmsResearch Design

Identifiers

PMID22540252
PMCPMC3807693

What OpenQuestion holds

Textmetadata
LicenceTDM
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.