Evidence map›Paper›PMID 32049828›Full record

Observational studyMedicine2020

Long-term survival and prognostic implications of patients with invasive breast cancer in southern Taiwan.

Shih-Chung Wu, Ming-Chu Chiang, Yun-Gang Lee, Mei-Wen Wang, Chuan-Fang Li, Tao-Hsin Tung, Hsiao-Hui Chen

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Shih-Chung WuDepartment of General Surgery.
Ming-Chu ChiangDepartment of Nursing.
Yun-Gang LeeCancer Canter, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung.
Mei-Wen WangDepartment of Nursing.
Chuan-Fang LiDepartment of Nursing.
Tao-Hsin TungDepartment of Medical Research and Education, Cheng Hsin General Hospital, Taipei, Taiwan.
Hsiao-Hui ChenDepartment of Nursing.
Cheng Hsin General Hospital · TWKaohsiung Chang Gung Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our objective in this study was to determine the survival rate of patients with invasive breast cancer and identify the prognostic factors related to all-cause mortality during a 10-year follow-up.Analysis was performed on the medical records of 2002 patients newly diagnosed with breast cancer at a medical center in southern Taiwan between 2006 and 2017. The Kaplan-Meier method and Cox regression analysis were used to estimate survival and the independence of prognostic factors associated with all-cause mortality.Among the 2002 patients, 257 expired during the 10-year follow-up period. The overall survival rates were as follows: 3 years (91.1%), 5 years (85.6%), and 10 years (77.9%). The median survival time was 120.41 months (95% confidence interval: 118.48-122.33 months). Older age, pathologic tumor status, regional lymph node metastasis, distant metastasis, grade/differentiation, treatment modalities, and hormone therapy were significantly related to all-cause mortality.This study identified several clinical factors related to all-cause mortality as well as its relationship to distant metastasis and poor differentiation. Early diagnosis and treatment aimed at preventing recurrence are the keys to survival.

Indexed as

Neoplasm InvasivenessAdultAgedBreast NeoplasmsFemaleFollow-Up StudiesHumansKaplan-Meier EstimateMiddle AgedProportional Hazards ModelsProspective StudiesTaiwan

Identifiers

PMID32049828
PMCPMC7035020
OpenAlexW3005612951

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.