SynthesisEndocrinology, diabetes & metabolism2025
Intentional Weight Loss and Associated Cancer Incidence Among People With Overweight or Obesity: A Systematic Literature Review.
Synthesis in Endocrinology, diabetes & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Intentional Weight Loss and Associated Cancer Incidence Among People With Overweight or Obesity: A Systematic Literature Review.Endocrinology, diabetes & metabolism · 2025Pooled it
- Article
- A community based participatory research approach to evaluate barriers and facilitators for behavioral weight loss intervention implementation in a predominantly black community.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Obesity Control and Cancer Prevention in China: Insights from the Weight Management Year.China CDC weekly · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsWhile obesity is linked to increased cancer risk, evidence on the impact of intentional weight loss on obesity-associated cancers (OACs) is limited. A systematic literature review (SLR) was conducted to assess the association between intentional weight loss and cancer incidence, including overall cancers and 13 OACs, from recent observational studies and clinical trials.
methodsStudies published between January 2019 and May 2023 were searched within MEDLINE, EMBASE, and CENTRAL. Studies assessing the relationship between intentional weight loss, defined as weight reduction via metabolic-bariatric surgery (MBS) or lifestyle interventions, and cancer incidence were included. A dual independent review process was used to screen 1954 abstracts and 84 full-text articles, and to extract data from 18 full studies. All discrepancies were resolved by another reviewer.
resultsOf the 18 studies included, 17 studies were observational, focusing on MBS as the method for achieving weight reduction. One randomised controlled trial examined the effect of intensive lifestyle intervention on weight reduction and found no significant association between intentional weight loss and cancer risk. Intentional weight loss was associated with decreased cancer incidence in 71.4% (n = 5/7) of studies for all cancers and 66.7% (n = 4/6) of studies for OACs, with reported risk reductions of 11% to 33% and 11% to 41%, respectively. For specific OACs, a greater number of studies indicated that weight reduction was associated with reduced occurrence of endometrial (4/4, 100%, 31%-53% risk reduction), female breast (5/9, 55.6%, 19%-50% risk reduction) and colorectal (4/7, 57.1%, 20%-60% risk reduction) cancers.
conclusionsThis SLR highlights the potential cancer risk-reduction benefit of weight reduction for people with obesity.
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Registered trials
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.