Evidence map›Paper›PMID 24415969›Full record

ArticleBreast care (Basel, Switzerland)2013

Impact of body mass index on prognostically relevant breast cancer tumor characteristics.

Monika Eichholzer, Dorothy J Huang, Alexandra Modlasiak, Seraina M Schmid, Andreas Schötzau, Sabine Rohrmann, Uwe Güth

Open access · bronzeAbstract read
In one paragraph

Article in Breast care (Basel, Switzerland), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Is there an association between liraglutide use and female breast cancer in a real-world setting?Diabetes, metabolic syndrome and obesity : targets and therapy · 2018
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
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 3 institutions in 2 countries.

Monika EichholzerDivision of Cancer Epidemiology and Prevention, Institute of Social and Preventive Medicine, University of Zurich, Basel, Switzerland.
Dorothy J HuangDepartment of Obstetrics and Gynecology, Breast center, Hospital Grabs, Basel, Switzerland ; Breast Center, University Hospital Basel, Breast center, Hospital Grabs, Basel, Switzerland.
Alexandra ModlasiakDepartment of Obstetrics and Gynecology, Breast center, Hospital Grabs, Basel, Switzerland ; Breast Center, University Hospital Basel, Breast center, Hospital Grabs, Basel, Switzerland.
Seraina M SchmidDepartment of Gynecology and Obstetrics, Breast center, Hospital Grabs, Basel, Switzerland.
Andreas SchötzauSchötzau and Simmen Institute for Biomathematics, Basel, Switzerland.
Sabine RohrmannDivision of Cancer Epidemiology and Prevention, Institute of Social and Preventive Medicine, University of Zurich, Basel, Switzerland.
Uwe GüthDepartment of Obstetrics and Gynecology, Breast center, Hospital Grabs, Basel, Switzerland ; Breast Center, University Hospital Basel, Breast center, Hospital Grabs, Basel, Switzerland ; Department of Gynecology and Obstetrics, Breast center, Cantonal Hospital Winterthur, Switzerland.
Breast Center · CHPrevention Institute · USUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study analyzes the association of body mass index (BMI) and prognostically relevant breast cancer (BC) characteristics in a country that has been rather spared of the global obesity epidemic. PATIENTS AND

methodsBased on 20-year data (1999-2009, n = 1,414) of the prospective relational BC database of the University Hospital Basel, Switzerland, the associations between BMI, tumor size and stage, histological subtype, grading, hormonal receptor status, HER2 status and 'triple-negative' status were evaluated. Multivariate analysis considered BMI and patient's age.

resultsThe association between increasing BMI and the above-mentioned variables were as follows (results described in each case: Beta-coefficient or odds ratio, 95% confidence interval, p value): tumor size, (1) entire cohort: 0.03 (0.01-0.05), p < 0.001, (2) tumor found by self-palpation: 0.05 (0.03-0.07), p < 0.001, (3) tumor found by radiological examination: 0.03 (0-0.07), p = 0.044; advanced TNM stage: 1.16 (1.02-1.31), p = 0.022; histological subtype: 1.04 (0.89-1.22), p = 0.602; unfavorable grading: 1.11 (1.00-1.25), p = 0.057; positive estrogen receptor status: 0.95 (0.83-1.09), p = 0.459; positive HER2 status: 0.92 (0.74-1.15), p = 0.467; presence of a 'triple-negative' carcinoma: 1.19 (0.93-1.52), p = 0.165. Consideration of only postmenopausal BC patients (n = 1,063) did attenuate the results, but did not change the direction of the associations with BMI.

conclusionBMI was positively associated with TNM stage, grading and tumor size for tumors that were found by self-detection, as well as for those lesions detected by radiological breast examinations.

Indexed as

Body mass indexBreast cancerPrognostic factorsTumor detectionTumor size

Identifiers

PMID24415969
PMCPMC3728633
OpenAlexW2010454218

What OpenQuestion holds

Textmetadata
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.