Evidence map›Paper›PMID 31125329›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2019

Survival Outcomes of Patients with Primary Breast Cancer Following Primary Ovarian Cancer.

Wei Zhang, Wenque Zhang, Zhihong Lin, Fang Wang, Miaojie Li, Libo Zhu, Yixian Yu, Yutao Gao

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. 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
2.0field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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

8 authors at 4 institutions in 1 country.

Wei ZhangDepartment of Gynaecology, The People's Hospital of Yuxi City, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, Yunnan, China (mainland).
Wenque ZhangDepartment of Gynaecology, The People's Hospital of Yuxi City, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, Yunnan, China (mainland).
Zhihong LinDepartment of Gynaecology, The People's Hospital of Yuxi City, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, Yunnan, China (mainland).
Fang WangDepartment of Gynaecology, The People's Hospital of Yuxi City, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, Yunnan, China (mainland).
Miaojie LiDepartment of Gynaecology, The People's Hospital of Yuxi City, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, Yunnan, China (mainland).
Libo ZhuDepartment of Gastroenterology, Dali Bai Autonomous Prefecture People's Hospital, Dali, Yunnan, China (mainland).
Yixian YuDepartment of Gynecology, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China (mainland).
Yutao GaoDepartment of Gynecology, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China (mainland).
Kunming Medical University · CNSixth Affiliated Hospital of Kunming Medical University · CNDali University · CNFirst Affiliated Hospital of Kunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Patients with primary breast cancer following primary ovarian cancer do not comprise a large clinical entity, and reports of the survival outcomes of this cohort are rare. The purpose of this retrospective population-based research was to investigate the survival outcomes of patients with primary breast cancer after primary ovarian cancer. MATERIAL AND METHODS A cohort of patients diagnosed with primary breast cancer following primary ovarian cancer between 1973 and 2014 was drawn from the National Cancer Institute's Surveillance Epidemiology and End Results (SEER) database. Cox proportional hazards survival regression analysis and Kaplan-Meier were applied to calculate overall survival (OS), cancer-specific survival (CSS), and independent predictors of CSS. RESULTS A total of 1455 patients with primary breast cancer following primary ovarian cancer were identified. The 5-year and 10-year OS rates for the entire cohort were 81.7% and 67.4%, respectively. The 5-year and 10-year CSS rates were 84.2% and 74.3% for ovarian cancer, and 76.0% and 67.8% for breast cancer, respectively. Multivariate analysis revealed that independent predictors of ovarian cancer CSS include age, cancer stage, diagnosis time, and histological subtype. CONCLUSIONS Patients diagnosed with breast cancer following ovarian cancer have better survival rates. Patients age, ovarian cancer stage, ovarian cancer histological type, and time of diagnose affect the survival rate.

Indexed as

AdultAgedAged, 80 and overBreast NeoplasmsFemaleHumansKaplan-Meier EstimateMiddle AgedMultivariate AnalysisNeoplasm StagingOvarian NeoplasmsRetrospective StudiesSEER ProgramSurvival AnalysisSurvival Rate

Identifiers

PMID31125329
PMCPMC6545065
OpenAlexW2945414576

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.