Evidence map›Paper›PMID 22693403›Full record

ArticleIndian journal of surgical oncology2011

Correlation Between Obesity and High Density Lipoprotein Cholesterol (HDL-C) in Breast Cancer Patients of Southern Rajasthan.

Padmanabh Inamdar, Garima Mehta

Open access · bronzeAbstract read
In one paragraph

Article in Indian journal of surgical oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Obesity, HDL and Breast Cancer.Indian journal of surgical oncology · 2012
    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

2 authors at 2 institutions in 1 country.

Padmanabh InamdarDepartment of Surgery, R N T Medical College, Udaipur, Rajastahn India.
Garima Mehta
Rabindranath Tagore Medical College · INSarojini Naidu Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite advances in management of breast cancer, etiology is still elusive. Diet, obesity and other life style factors have been implicated in its etiology. We assessed the role of obesity and HDL-C levels in patients with rural background in etiology of breast cancer. To know the relation between obesity and incidence of breast cancer in local population. Also to know serum HDL-C level in breast cancer and its correlation with breast cancer. A nested pilot study of 50 breast cancer patients was done and matched with 50 healthy women as controls. Obesity was measured by weight, height, BMI (Body Mass Index), waist circumference (WC), Hip Circumference (HC), WC/HC ratio, and Serum High Density Lipoprotein Cholesterol (HDL-C) was measured in patients and in controls. There was no significant difference in distribution of weight (p = 0.298), height (p = 0.653), BMI (p = 0.459) and WHR (p = 0.052) among cases and controls. HDL-C level was observed to be significantly lower in cases than control group (p = 0.017).Breast cancer patients of pre menopausal age had significantly low Weight (p = 0.037) and BMI (p = 0.011) than post menopausal patients. In our study population only low HDL-C level had significant correlation with breast cancer and none of the other anthropometric measurements were associated with breast cancer. However, large population based case control and cohort studies are needed to identify low serum HDL-C as an independent predictor of increased risk of breast cancer.

Indexed as

Body mass indexBreast cancerHigh density lipoprotein cholesterolObesityWaist hip ratio

Identifiers

PMID22693403
PMCPMC3244193
OpenAlexW1969121627

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.