Evidence map›Paper›PMID 32320950›Full record

ArticleAging2020

Validation of the 8

Juan Zhou, Jian Lei, Jun Wang, Chen-Lu Lian, Li Hua, Li-Chao Yang, San-Gang Wu

Abstract readValidation Study
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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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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

7 authors.

Juan ZhouDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, Xiamen 361003, People's Republic of China.
Jian LeiDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, Xiamen 361003, People's Republic of China.
Jun WangDepartment of Radiation Oncology, The First Affiliated Hospital of Xiamen University, Xiamen 361003, People's Republic of China.
Chen-Lu LianDepartment of Radiation Oncology, The First Affiliated Hospital of Xiamen University, Xiamen 361003, People's Republic of China.
Li HuaDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, Xiamen 361003, People's Republic of China.
Li-Chao YangXiamen Key Laboratory of Chiral Drugs, Medical College, Xiamen University, Xiamen 361005, People's Republic of China.
San-Gang WuDepartment of Radiation Oncology, The First Affiliated Hospital of Xiamen University, Xiamen 361003, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to validate the newly proposed American Joint Committee on Cancer (AJCC) pathological prognostic staging system for young breast cancer patients (aged ≤40 years).

resultsWe included 12811 women in this study. Overall, 52.8% of patients in the 7

conclusionsThe novel pathological staging system could provide more accurate prognostic stratification for young women with breast cancer because of the high proportion of stage migration. PATIENTS AND

methodsData for young breast cancer patients diagnosed between 2010 and 2014 were included from the Surveillance, Epidemiology, and End Results program. Chi-squared test, Kaplan-Meier method, receiver operating characteristics curve, and Cox proportional hazard analysis were applied to statistical analysis.

Indexed as

Medical OncologySocieties, MedicalAdultBreast NeoplasmsFemaleHumansNeoplasm StagingPrognosisUnited StatesAJCC 8 edition thbreast neoplasmsneoplasm stagingprognosis

Identifiers

PMID32320950
PMCPMC7202534

What OpenQuestion holds

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Registered trials

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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.