Evidence map›Paper›PMID 38042922›Full record

ArticleNPJ breast cancer2023

Post-diagnosis weight trajectories and mortality among women with breast cancer.

Leah S Puklin, Fangyong Li, Brenda Cartmel, Julian Zhao, Tara Sanft, Alexa Lisevick, Eric P Winer, Maryam Lustberg, Donna Spiegelman, Mona Sharifi and 2 more

Abstract read
In one paragraph

Article in NPJ breast cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Exploring the multifaceted role of obesity in breast cancer progression.Frontiers in cell and developmental biology · 2024
    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

12 authors.

Leah S PuklinYale School of Public Health, Yale University, New Haven, CT, 06510, USA. leah.puklin@yale.edu.ORCID http://orcid.org/0000-0003-0848-4866
Fangyong LiYale School of Public Health, Yale University, New Haven, CT, 06510, USA.ORCID http://orcid.org/0000-0003-3171-7592
Brenda CartmelYale School of Public Health, Yale University, New Haven, CT, 06510, USA.
Julian ZhaoYale School of Public Health, Yale University, New Haven, CT, 06510, USA.
Tara SanftYale Cancer Center, New Haven, CT, 06510, USA.
Alexa LisevickYale University School of Medicine, 333 Cedar St., New Haven, CT, 06520, USA.
Eric P WinerYale Cancer Center, New Haven, CT, 06510, USA.
Maryam LustbergYale Cancer Center, New Haven, CT, 06510, USA.
Donna SpiegelmanYale School of Public Health, Yale University, New Haven, CT, 06510, USA.
Mona SharifiYale School of Public Health, Yale University, New Haven, CT, 06510, USA.ORCID http://orcid.org/0000-0002-1632-7038
Melinda L IrwinYale School of Public Health, Yale University, New Haven, CT, 06510, USA.
Leah M FerrucciYale School of Public Health, Yale University, New Haven, CT, 06510, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI Eric P. Winer · 1985 to 2026
$85.0M
NRSA Training CoreTL1TR001864 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$9.9M
Transdisciplinary Research in Energetics and Cancer (TREC) Training GrantR25CA203650 · NCI · YALE UNIVERSITY · PI IRWIN, MELINDA L · 2016 to 2025
$2.9M
The Yale Cancer Prevention and Control Training ProgramT32CA250803 · NCI · YALE UNIVERSITY · PI Melinda L Irwin, Xiaomei Ma · 2020 to 2026
$2.3M
Bridging the Gap: Evaluating why and how to implement lifestyle programs for cancer patients into routine clinical oncology careF31CA268894 · NCI · YALE UNIVERSITY · PI PUKLIN, LEAH · 2022 to 2023
$72k
NCATS NIH HHS TL1 TR001864NCATS NIH HHS UL1 TR001863NCI NIH HHS F31 CA268894NCI NIH HHS P30 CA016359NCI NIH HHS R25 CA203650NCI NIH HHS T32 CA250803
6 · The paper itself

Abstract

Weight gain after breast cancer diagnosis is associated with adverse health outcomes. Yet, few studies have characterized post-diagnosis weight change in the modern treatment era or populations most at risk for weight changes. Among women diagnosed with stages I-III breast cancer in the Smilow Care Network (2013-2019; N = 5441), we abstracted demographic and clinical characteristics from electronic health records and survival data from tumor registries. We assessed if baseline characteristics modified weight trajectories with nonlinear multilevel mixed-effect models. We evaluated body mass index (BMI) at diagnosis and weight change 1-year post-diagnosis in relation to all-cause and breast cancer-specific mortality with Cox proportional hazard models. Women had 34.4 ± 25.5 weight measurements over 3.2 ± 1.8 years of follow-up. Weight gain was associated with ER/PR-, HER2+ tumors, BMI ≤ 18.5 kg/m

Identifiers

PMID38042922
PMCPMC10693588

What Socratic 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 Socratic graph.