Evidence map›Paper›PMID 35968529›Full record

ReviewCurrent breast cancer reports2022

Mitigating Breast Cancer Disparities by Addressing the Obesity Epidemic.

Lauren Elreda, Angelina Kim, Manmeet Malik

Open access · bronzeAbstract readReview
In one paragraph

Review in Current breast cancer reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Social Determinants of Cancer Disparities.Annals of surgical oncology · 2023
    Review
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

3 authors at 1 institution in 1 country.

Lauren ElredaBreast Surgical and Medical Oncology, New York-Presbyterian Queens, Weill Cornell Medicine, 58-04 Main Street, Flushing, New York, NY USA.
Angelina KimBreast Surgical and Medical Oncology, New York-Presbyterian Queens, Weill Cornell Medicine, 58-04 Main Street, Flushing, New York, NY USA.
Manmeet MalikBreast Surgical and Medical Oncology, New York-Presbyterian Queens, Weill Cornell Medicine, 58-04 Main Street, Flushing, New York, NY USA.ORCID 0000-0002-7055-3976
Cornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose of Review: Obese breast cancer patients have poorer outcomes compared to non-obese patients. The intent of this review is to discuss recent studies and analyses regarding the status of the obesity epidemic and its effect on breast cancer incidence and outcomes. Subsequently, we will introduce a program implemented at a New York City hospital to reduce the morbidity and mortality of breast cancer patients with obesity. Recent Findings: The prevalence of obesity among adult Americans is 42%, spanning all racial and socioeconomic groups. Importantly, obesity is associated with multiple chronic diseases including cancer. Among breast cancer patients, obesity is linked to higher mortality and poorer clinical outcomes, including but not limited to distant recurrence and secondary malignancies. Summary: Current treatment of breast cancer patients does not address the link between obesity and poorer prognosis. Here, we present a general strategy for reducing the morbidity and mortality of obese breast cancer patients by addressing the obesity epidemic. Supplementary Information: The online version contains supplementary material available at 10.1007/s12609-022-00460-4.

Indexed as

Bariatric surgeryBreast cancerDisparitiesObesityWeight loss

Identifiers

PMID35968529
PMCPMC9362519
OpenAlexW4289711279

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.