Evidence map›Paper›PMID 34114748›Full record

ArticleCancer medicine2021

Body composition and risk of major gynecologic malignancies: Results from the UK Biobank prospective cohort.

Peng Yun, Bin Xia, Xiao-Hui Tian, Ting Gong, An-Ran Liu, Jin-Qiu Yuan, Fang-Ping Li

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Efficacy of exercise interventions for women during and after gynaecological cancer treatment - a systematic scoping review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
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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

7 authors at 1 institution in 1 country.

Peng YunDepartment of Endocrinology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Bin XiaClinical medicine research center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Xiao-Hui TianDepartment of Obstetrics and Gynecology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Ting GongDepartment of Radiology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
An-Ran LiuDepartment of Nutriology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Jin-Qiu YuanClinical medicine research center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.ORCID 0000-0003-0016-776X
Fang-Ping LiDepartment of Endocrinology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Sun Yat-sen University · CN

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Sanming Project of Medicine in Shenzhen SZSM202011007The Hospital Research Fund of SAHSYSU ZSQYLCKYJJ202009
6 · The paper itself

Abstract

objectiveTo evaluate the association between body composition and subsequent risk of the major gynecologic malignancies.

methodsThis is a prospective analysis of participants from the UK Biobank. We measured baseline body composition and confirmed cancer diagnosis through linkage to cancer and death registries. We evaluated hazard ratios (HRs) and confidence interval (CIs) with COX models adjusting for potential confounders.

resultsWe document 1430 cases of the top three gynecologic malignancies (uterine corpus cancer 847 cases, ovarian cancer 514 cases, and cervical cancer 69 cases) from 245,084 female participants (75,307 were premenopausal and 169,777 were postmenopausal). For premenopausal women, whole body fat-free mass (WBFFM) was associated with an increased risk of uterine corpus cancer (Adjusted HR per unit increase 1.04, 95% CI 1.02-1.06). For postmenopausal women, compared with the first quartile, the fourth quartile of WBFFM and whole body fat mass(WBFM) was associated with 2.16 (95% CI 1.49-3.13) times and 1.89 (95% CI 1.31-2.72) times of increased uterine corpus cancer risk, respectively. Regarding the distribution of body fat mass (FM)/fat-free mass (FFM), FFM distributed in the trunk was associate with increased uterine corpus cancer risk in premenopausal (HR 1.18,95% CI 1.07-1.31) and postmenopausal women (HR 1.13,95% CI 1.09-1.18). Meanwhile, FM/FFM distributed in the limbs present an U-shaped associations with uterine corpus cancer risk. We did not observe any association between aforementioned body composition indices with ovarian or cervical cancer.

conclusionFM is associated with an increased risk of uterine corpus cancer in postmenopausal women. Meanwhile, FFM is found to be a risk factor for uterine corpus cancer in both premenopausal and postmenopausal women. No association of body composition with ovarian or cervical cancer was observed.

Indexed as

Body CompositionBiological Specimen BanksBody Fat DistributionConfidence IntervalsFemaleHumansMiddle AgedOvarian NeoplasmsPostmenopausePremenopauseProportional Hazards ModelsProspective StudiesRisk FactorsUnited KingdomUterine Cervical NeoplasmsUterine Neoplasmsbody compositioncohort studygynecological malignancyUK Biobank

Identifiers

PMID34114748
PMCPMC8267135
OpenAlexW3167690254

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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.