Evidence map›Paper›PMID 40805936›Full record

ArticleHealthcare (Basel, Switzerland)2025

Impact of Depression and/or Anxiety on Mortality in Women with Gynecologic Cancers: A Nationwide Retrospective Cohort Study.

Yung-Taek Ouh, Eun-Yeob Kim, Nam Kyeong Kim, Nak-Woo Lee, Kyung-Jin Min

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

5 authors.

Yung-Taek OuhDepartment of Obstetrics and Gynecology, Korea University Ansan Hospital, Ansan-si 15355, Gyeonggi-do, Republic of Korea.ORCID 0000-0001-5887-4497
Eun-Yeob KimDepartment of Medical Science Research Center, Korea University Ansan Hospital, Ansan-si 15355, Gyeonggi-do, Republic of Korea.
Nam Kyeong KimDepartment of Obstetrics and Gynecology, Korea University Ansan Hospital, Ansan-si 15355, Gyeonggi-do, Republic of Korea.
Nak-Woo LeeDepartment of Obstetrics and Gynecology, Korea University Ansan Hospital, Ansan-si 15355, Gyeonggi-do, Republic of Korea.
Kyung-Jin MinDepartment of Obstetrics and Gynecology, Korea University Ansan Hospital, Ansan-si 15355, Gyeonggi-do, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to investigate the impact of depression and anxiety disorders on mortality in women diagnosed with gynecologic cancers, utilizing nationwide retrospective cohort data.

methodsData from the Korean National Health Insurance Service (NHIS) database, covering women diagnosed with cervical, endometrial, or ovarian cancers between 2007 and 2014, were analyzed. Women diagnosed with depression or anxiety disorders within one year after cancer diagnosis were identified and compared with a control group comprising patients with gynecologic cancers who did not develop either disorder during the same post-diagnosis period. Mortality was evaluated as the primary outcome.

resultsOf 85,327 women analyzed, 784 (0.9%) were diagnosed with depression or anxiety disorders. Patients with depression or anxiety exhibited significantly higher mortality (38.4% vs. 29.9%;

conclusionsDepression and anxiety disorders are significant predictors of increased mortality in women with gynecologic cancers, emphasizing the necessity for integrated mental health assessment and interventions in oncologic care to improve both survival and quality of life.

Indexed as

anxiety disordersdepressiongynecologic cancersKorean National Health Insurance Service (NHIS)

Identifiers

PMID40805936
PMCPMC12345817

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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.