Evidence map›Paper›PMID 23050962›Full record

ReviewAnnals of the New York Academy of Sciences2012

Obesity and cancer risk: evidence, mechanisms, and recommendations.

Ivana Vucenik, Joseph P Stains

Open access · bronzeAbstract readReview
In one paragraph

Review in Annals of the New York Academy of Sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 236 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
236citing papers in PubMed, 8 pooled it
25.4field-weighted citation impact, top 1% 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

236 citing papers in PubMed, 8 syntheses or guidelines pooled it, 565 citations in OpenAlex.

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176 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

2 authors at 1 institution in 1 country.

Ivana VucenikDepartment of Medical and Research Technology, University of Maryland School of Medicine, Baltimore, Maryland, USA. ivucenik@som.umaryland.edu
Joseph P Stains
University of Maryland, Baltimore · US

Funding

Intercellular Signaling in BoneR01AR052719 · NIAMS · UNIVERSITY OF MARYLAND BALTIMORE · PI STAINS, JOSEPH P. · 2006 to 2010
$1.3M
NIAMS NIH HHS R01 AR052719
6 · The paper itself

Abstract

Obesity, a growing health problem worldwide, has been associated with the metabolic syndrome, diabetes, cardiovascular disease, hypertension, and other chronic diseases. Recently, the obesity-cancer link has received much attention. Epidemiological studies have shown that obesity is also associated with increased risk of several cancer types, including colon, breast, endometrium, liver, kidney, esophagus, gastric, pancreatic, gallbladder, and leukemia, and can also lead to poorer treatment and increased cancer-related mortality. Biological mechanisms underlying the relationship between obesity and cancer are not well understood. They include modulation of energy balance and calorie restriction, growth factors, multiple signaling pathways, and inflammatory processes. Key among the signaling pathways linking obesity and cancer is the PI3K/Akt/mTOR cascade, which is a target of many of the obesity-associated factors and regulates cell proliferation and survival. Understanding the molecular and cellular mechanisms of the obesity-cancer connection is important in developing potential therapeutics. The link between obesity and cancer underscores the recommendation to maintain a healthy body weight throughout life as one of the most important ways to protect against cancer.

Indexed as

Evidence-Based MedicineGlobal HealthHealth PromotionAnimalsCell ProliferationCell SurvivalComorbidityHealth PolicyHumansNeoplasmsObesityRisk

Identifiers

PMID23050962
PMCPMC3476838
OpenAlexW1892385952

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.