Evidence map›Paper›PMID 34327357›Full record

ArticleThe Lancet regional health. Western Pacific2021

Risk of female-specific cancers according to obesity and menopausal status in 2•7 million Korean women: Similar trends between Korean and Western women.

In Sil Park, Se Ik Kim, Youngjin Han, Juhwan Yoo, Aeran Seol, HyunA Jo, Juwon Lee, Wenyu Wang, Kyungdo Han, Yong Sang Song

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 13% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

In Sil ParkCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.
Se Ik KimDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Republic of Korea.
Youngjin HanCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.
Juhwan YooDepartment of Biomedicine and Health Science, The Catholic University of Korea, Seoul, Republic of Korea.
Aeran SeolDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Republic of Korea.
HyunA JoCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.
Juwon LeeCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.
Wenyu WangCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.
Kyungdo HanDepartment of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea.
Yong Sang SongCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.
Seoul National University · KRCatholic University of Korea · KRSoongsil University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies examining the relationship between obesity and female-specific cancers have been mainly conducted in Western populations. We aimed to investigate the risk of female-specific cancers according to obesity and menopausal status using a nationwide cohort in Korea.

methodsWe identified 2,708,938 women from the National Health Insurance Service cohort, and obtained baseline body mass index (BMI), waist circumference (WC), and other healthcare data, measured and collected during a health examinations and cancer-screening survey. By setting a normal weight/WC group (BMI, 18•5-22•9 kg/m

findingsThe total follow-up duration was 22389854•63 person-years. In post-menopausal women, the risk of breast, endometrial, and ovarian cancers significantly increased as the BMI classification level increased from normal to class II obesity (aHRs [95% CIs], 1•49 [1•38-1.61], 2•11 [1•81-2•46], and 1•38 [1•20-1•58], respectively). The risk of breast and endometrial cancers also increased as the WC classification increased from < 75•0 to ≥ 95•0 cm. With a WC of 80•0-84•9 cm as the reference, the lowest risk of breast and endometrial cancers was observed in WC < 75•0 cm (aHRs [95% CIs], 0•85 [0•81-0•89] and 0•75 [0•67-0•84], respectively) while the highest risk was observed in WC ≥ 95•0 cm (aHRs [95% CIs], 1•19 [1•10-1•29] and 1•56 [1•33-1•82], respectively). In pre-menopausal women, the risk of breast cancer significantly decreased in those with class I and II obesity compared to those with normal BMI (aHRs [95% CIs], 0•96 [0•92-0•999] and 0•89 [0•81-0•97], respectively), whereas the trends of endometrial and ovarian cancer incidence in pre-menopausal women were similar to those observed in post-menopausal women. For cervical cancer, only class II obesity was significantly associated with increased risks in both post-menopausal and pre-menopausal women (aHRs [95% CIs], 1•18 [1•01-1•39] and 1•27 [1•02-1•57], respectively).

interpretationIn this large population-based cohort study in Korean women, we observed that the impact of obesity on the development of female-specific cancers differs according to the malignancy type and menopausal status. Similar trends were observed between Korean and Western women.

fundingThe Korea Health Industry Development Institute (no. HI16C2037).

Indexed as

Body mass indexBreast cancerCervical cancerEndometrial cancerIncidenceMenopauseObesityOvarian cancerWaist circumference

Identifiers

PMID34327357
PMCPMC8315398
OpenAlexW3157821709

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.