Evidence map›Paper›PMID 32710731›Full record

ArticleAging2020

Prognostic validation and treatment decision making of the 8

San-Gang Wu, Jian Shi, Wen-Wen Zhang, Jun Wang, Chen-Lu Lian, Jian Lei, Li Hua, Juan Zhou, Zhen-Yu He

Open access · greenAbstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 53% 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

5 citing papers in PubMed, 6 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

9 authors at 5 institutions in 2 countries.

San-Gang WuDepartment of Radiation Oncology, The First Affiliated Hospital of Xiamen University, Teaching Hospital of Fujian Medical University, Xiamen 361003, People's Republic of China.
Jian ShiDepartment of Breast Surgery, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518083, People's Republic of China.
Wen-Wen ZhangDepartment of Radiation Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, People's Republic of China.
Jun WangDepartment of Radiation Oncology, The First Affiliated Hospital of Xiamen University, Teaching Hospital of Fujian Medical University, Xiamen 361003, People's Republic of China.
Chen-Lu LianDepartment of Radiation Oncology, The First Affiliated Hospital of Xiamen University, Teaching Hospital of Fujian Medical University, Xiamen 361003, People's Republic of China.
Jian LeiDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, Teaching Hospital of Fujian Medical University, Xiamen 361003, People's Republic of China.
Li HuaDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, Teaching Hospital of Fujian Medical University, Xiamen 361003, People's Republic of China.
Juan ZhouDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, Teaching Hospital of Fujian Medical University, Xiamen 361003, People's Republic of China.
Zhen-Yu HeDepartment of Radiation Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, People's Republic of China.
First Affiliated Hospital of Xiamen University · CNFujian Medical University · CNSun Yat-sen University · CNSun Yat-sen University Cancer Center · CNUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the prognostication and treatment decision making of the American Joint Committee on Cancer (AJCC) 8

resultsWe included 67699 patients, and patients were restaged into stage IA (84.9%), IB (8.9%), and IIA (6.2%) using the 8

conclusionsThe 8

methodsWe identified stage T1-2N0M0 BC patients using the Surveillance, Epidemiology, and End Results database. Statistical analyses were used binomial logistic regression, and multivariable competing risk models in the Cox model framework.

Indexed as

Breast NeoplasmsRisk AssessmentAgedAge FactorsClinical Decision-MakingFemaleHumansMastectomyMortalityNeoplasm StagingOrgan Sparing TreatmentsPatient SelectionPrognosisProportional Hazards ModelsRadiotherapyReproducibility of ResultsAmerican Joint Committee on Cancer (AJCC)breast cancercompeting risks modelneoplasm staging

Identifiers

PMID32710731
PMCPMC7425443
OpenAlexW3044477218

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.