Evidence map›Paper›PMID 23922112›Full record

ArticleBritish journal of cancer2013

Clinical and genetic predictors of weight gain in patients diagnosed with breast cancer.

S M Reddy, M Sadim, J Li, N Yi, S Agarwal, C S Mantzoros, V G Kaklamani

Abstract read
In one paragraph

Article in British journal of cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Self-monitoring physical activity with a smartphone application in cancer patients: a randomized feasibility study (SMART-trial).Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2018
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  17. The Identification of Critical mFrontiers in genetics · 2020
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  19. mMolecular neurobiology · 2019
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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

7 authors.

S M ReddyDepartment of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
M Sadim
J Li
N Yi
S Agarwal
C S Mantzoros
V G Kaklamani

Funding

Leptin Signaling in HumansI01CX000422 · VA · VA BOSTON HEALTH CARE SYSTEM · PI MANTZOROS, CHRISTOS S · 2011 to 2014
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CSRD VA I01 CX000422
6 · The paper itself

Abstract

backgroundPost-diagnosis weight gain in breast cancer patients has been associated with increased cancer recurrence and mortality. Our study was designed to identify risk factors for this weight gain and create a predictive model to identify a high-risk population for targeted interventions.

methodsChart review was conducted on 459 breast cancer patients from Northwestern Robert H. Lurie Cancer Centre to obtain weights and body mass indices (BMIs) over an 18-month period from diagnosis. We also recorded tumour characteristics, demographics, clinical factors, and treatment regimens. Blood samples were genotyped for 14 single-nucleotide polymorphisms (SNPs) in fat mass and obesity-associated protein (FTO) and adiponectin pathway genes (ADIPOQ and ADIPOR1).

resultsIn all, 56% of patients had >0.5 kg m(-2) increase in BMI from diagnosis to 18 months, with average BMI and weight gain of 1.9 kg m(-2) and 5.1 kg, respectively. Our best predictive model was a primarily SNP-based model incorporating all 14 FTO and adiponectin pathway SNPs studied, their epistatic interactions, and age and BMI at diagnosis, with area under receiver operating characteristic curve of 0.85 for 18-month weight gain.

conclusionWe created a powerful risk prediction model that can identify breast cancer patients at high risk for weight gain.

Indexed as

Breast NeoplasmsCarcinomaAdiponectinAdultAgedAged, 80 and overAlpha-Ketoglutarate-Dependent Dioxygenase FTOFemaleHumansMiddle AgedPolymorphism, Single NucleotideProteinsReceptors, AdiponectinRetrospective StudiesRisk AssessmentROC CurveAdiponectinADIPOQ protein, humanADIPOR1 protein, humanAlpha-Ketoglutarate-Dependent Dioxygenase FTOFTO protein, humanProteinsReceptors, Adiponectin

Identifiers

PMID23922112
PMCPMC3749587

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.