Evidence map›Paper›PMID 30034522›Full record

ArticleEcancermedicalscience2018

Correlation of BMI with breast cancer subtype and tumour size.

K Govind Babu, Abhishek Anand, Kuntegowdanahalli C Lakshmaiah, Dasappa Lokanatha, Linu Abraham Jacob, M C Suresh Babu, Kadabur N Lokesh, Haleshappa A Rudresha, Lakkavalli K Rajeev, Smitha C Saldanha and 5 more

Open access · goldAbstract read
In one paragraph

Article in Ecancermedicalscience, 2018. 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
0.8field-weighted citation impact, top 23% 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, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Weight Gain after Hormone Receptor-Positive Breast Cancer.Current oncology (Toronto, Ont.) · 2022
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  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

15 authors at 2 institutions in 1 country.

K Govind BabuDepartment of Medical Oncology, Kidwai Cancer Institute, Bengaluru 560029, India.
Abhishek AnandDepartment of Medical Oncology, Kidwai Cancer Institute, Bengaluru 560029, India.
Kuntegowdanahalli C LakshmaiahDepartment of Medical Oncology, Kidwai Cancer Institute, Bengaluru 560029, India.
Dasappa LokanathaDepartment of Medical Oncology, Kidwai Cancer Institute, Bengaluru 560029, India.
Linu Abraham JacobDepartment of Medical Oncology, Kidwai Cancer Institute, Bengaluru 560029, India.
M C Suresh BabuDepartment of Medical Oncology, Kidwai Cancer Institute, Bengaluru 560029, India.
Kadabur N LokeshDepartment of Medical Oncology, Kidwai Cancer Institute, Bengaluru 560029, India.
Haleshappa A RudreshaDepartment of Medical Oncology, Kidwai Cancer Institute, Bengaluru 560029, India.
Lakkavalli K RajeevDepartment of Medical Oncology, Kidwai Cancer Institute, Bengaluru 560029, India.
Smitha C SaldanhaDepartment of Medical Oncology, Kidwai Cancer Institute, Bengaluru 560029, India.
G V GiriDepartment of Medical Oncology, Kidwai Cancer Institute, Bengaluru 560029, India.
Chethan RDepartment of Medical Oncology, Kidwai Cancer Institute, Bengaluru 560029, India.
Deepak KoppakaDepartment of Medical Oncology, Kidwai Cancer Institute, Bengaluru 560029, India.
Dipti PanwarDepartment of Pathology, Kidwai Cancer Institute, Bengaluru 560029, India.
Rekha V KumarDepartment of Pathology, Kidwai Cancer Institute, Bengaluru 560029, India.
Kidwai Memorial Institute of Oncology · INCancer Institute (WIA) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is a heterogeneous disease which is divided broadly into luminal, HER2 and basal type based on molecular profiling. Increased body mass index (BMI) has been associated with the risk of developing breast cancer but the association based on molecular subtype remains conflicting.

methodsThis was an observational study carried out over a period of 2 years. Nonmetastatic breast cancer patients were evaluated for the tumour subtype based on surrogate markers (ER, PR and HER2). The BMI of these patients was correlated with the tumour subtype and size.

resultsWe studied 476 patients with breast cancer with the median age of 46 years (range, 25-86) and 58% were premenopausal. The mean BMI of the cohort was 24.1, which was significantly higher in postmenopausal women (24.9 versus 23.6,

conclusionThe average BMI was higher in patients with luminal subtype followed by TNBC and lowest for HER2 at the time of diagnosis. The mean tumour size was numerically higher for TNBC and lowest for HER2 subtype although the difference was not statistically significant. Larger studies may provide clarity of association between the BMI and tumour subtype.

Indexed as

body mass indexbreast cancer

Identifiers

PMID30034522
PMCPMC6027980
OpenAlexW2809856837

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.