Evidence map›Paper›PMID 31309004›Full record

ArticlePeerJ2019

The prognostic impact of age in different molecular subtypes of breast cancer: a population-based study.

Dongjun Dai, Yiming Zhong, Zhuo Wang, Neelum Aziz Yousafzai, Hongchuan Jin, Xian Wang

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Molecular subtypes as a prognostic breast cancer factor in women users of the São Paulo public health system, Brazil.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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

6 authors at 2 institutions in 1 country.

Dongjun Dai *Department of Medical Oncology, Sir Run Run Shaw Hospital, Medical School, Zhejiang University, Hangzhou, Zhejiang, China.
Yiming Zhong *Department of Medical Oncology, Sir Run Run Shaw Hospital, Medical School, Zhejiang University, Hangzhou, Zhejiang, China.
Zhuo WangDepartment of Medical Oncology, Sir Run Run Shaw Hospital, Medical School, Zhejiang University, Hangzhou, Zhejiang, China.
Neelum Aziz YousafzaiDepartment of Medical Oncology, Sir Run Run Shaw Hospital, Medical School, Zhejiang University, Hangzhou, Zhejiang, China.
Hongchuan JinLaboratory of Cancer Biology, Key Lab of Biotherapy, Sir Run Run Shaw Hospital, Medical School, Zhejiang University, Hangzhou, Zhejiang, China.
Xian WangDepartment of Medical Oncology, Sir Run Run Shaw Hospital, Medical School, Zhejiang University, Hangzhou, Zhejiang, China.
Zhejiang University · CNSir Run Run Shaw Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of current study was to use competing risk model to calculate the potential differences that age played in the prognosis of different breast cancer subtypes.

methodsThe cohort was selected from Surveillance, Epidemiology, and End Results (SEER) program. The cumulative incidences of death (CID) was assessed for breast cancer caused deaths and other causes of mortality. The multivariate Cox proportional hazards regression model and the multivariate subdistribution hazard (SH) model were used to evaluate the prognostic value of age in different breast cancer subtypes.

resultsWe involved 33,968 breast cancer patients into our cohort. We found older patients had worse overall survival (OS) than young patients in hormone receptor positive and human epidermal growth factor receptor 2 positive breast cancer (HR+/HER2+) (≥40 vs. <40, HR = 2.07, 95% CI [1.28-3.35],

conclusionOur research was currently the largest sample size study and the first competing risk model-based study on the prognostic association between age and different breast cancer subtypes. We found <40 years patients had worse breast cancer specific survival (BCSS) than older patients in the TNBC subtype.

Indexed as

AgeBreast cancer specific survivalCompeting risk modelMolecular subtypePrognosisTriple negative breast cancer

Identifiers

PMID31309004
PMCPMC6612417
OpenAlexW2954762607

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.