Evidence map›Paper›PMID 37370158›Full record

ArticleCancer & metabolism2023

Obesity and breast cancer prognosis: pre-diagnostic anthropometric measures in relation to patient, tumor, and treatment characteristics.

Sixten Harborg, Maria Feldt, Deirdre Cronin-Fenton, Marie Klintman, Susanne O Dalton, Ann H Rosendahl, Signe Borgquist

Open access · goldAbstract read
In one paragraph

Article in Cancer & metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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 at 4 institutions in 2 countries.

Sixten HarborgDepartment of Oncology, Aarhus University/Aarhus University Hospital, Entrance C, Level 1, C106, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark. sixten.harborg@oncology.au.dk.
Maria FeldtDepartment of Clinical Sciences Lund, Oncology, Lund University, Skåne University Hospital, Lund, Sweden.
Deirdre Cronin-FentonDepartment of Clinical Epidemiology, Aarhus University, Aarhus, Denmark.
Marie KlintmanDepartment of Clinical Sciences Lund, Oncology, Lund University, Skåne University Hospital, Lund, Sweden.
Susanne O DaltonSurvivorship and Inequality in Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark.
Ann H Rosendahl *Department of Clinical Sciences Lund, Oncology, Lund University, Skåne University Hospital, Lund, Sweden.
Signe Borgquist *Department of Oncology, Aarhus University/Aarhus University Hospital, Entrance C, Level 1, C106, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark.
Aarhus University · DKLund University · SESkåne University Hospital · SEDanish Cancer Society · DK

Funding

Danish Comprehensive Cancer Center project no. 7 & 14Dansk Kræftforsknings Fond DKF-2021-81-(738)Helga og Peter Kornings Fond DC472123- 007-34Kræftens Bekæmpelse R328-A19070Kræftens Bekæmpelse R349-A19981
6 · The paper itself

Abstract

purposeExamine the association between obesity and clinical outcomes in early breast cancer and assess if patient, tumor, and treatment characteristics modify such associations in Malmö Diet and Cancer Study patients (MDCS).

methodsThe MDCS enrolled 17,035 Swedish women from 1991 to 1996. At enrollment, participants' body mass index (BMI), waist circumference and body fat percentage measures were collected. We identified all female MDCS participants with invasive breast cancer from 1991 to 2014. Follow-up began at breast cancer diagnosis and ended at breast cancer recurrence (BCR), death, emigration, or June 8, 2020. The World Health Organization guidelines were used to classify BMI, waist circumference, and body fat percentage into three categories of healthy weight, overweight, and obesity. We fit Cox regression models to compute adjusted hazard ratios (HRs) with 95% confidence intervals (CI) of BCR according to body composition. To evaluate effect measure modification, we stratified Cox models by patient, tumor, and treatment characteristics.

resultsIn total, 263 BCRs were diagnosed over 12,816 person-years among 1099 breast cancer patients with a median follow-up of 11.1 years. Obesity according to BMI (HR = 1.44 [95%CI 1.00-2.07]), waist circumference (HR = 1.31 [95%CI 0.98-1.77]), and body fat percentage (HR = 1.41 [95%CI 1.02-1.98]) was associated with increased risk of BCR compared with healthy weight. Obesity was stronger associated with BCR in patients with low socioeconomic position (HR = 2.55 [95%CI 1.08-6.02]), larger tumors > 20 mm (HR = 2.68 [95%CI 1.42-5.06]), estrogen-receptor-negative breast cancer (HR = 3.13 [95%CI 1.09-8.97]), and with adjuvant chemotherapy treatment (HR = 2.06 [95%CI 1.08-4.31]).

conclusionHigher pre-diagnostic BMI, waist circumference, and body fat percentage was associated with increased risk of BCR. The association between obesity and BCR appears dependent on patient, tumor, and treatment characteristics.

Identifiers

PMID37370158
PMCPMC10294507
OpenAlexW4382344562

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LicenceCC BY
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Registered trials

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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.