Evidence map›Paper›PMID 35378767›Full record

ArticleJournal of oncology2022

Assessing the Variations in Breast/Ovarian Cancer Risk for Chinese

Ang Li, Shuai Hao, Jiaqi Luo, Yi Zi, Zhaoji Lan, Tianliangwen Zhou, Qihuan Zhi, Jiamin Zhan, Gang Sun, Yujian Shi and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

11 authors at 2 institutions in 1 country.

Ang LiDepartment of Research, Top Gene Tech (Guangzhou) Co., Ltd., Guangzhou, China.ORCID https://orcid.org/0000-0002-1186-3448
Shuai HaoDepartment of Breast, Thyroid Surgery, Daping Hospital, Army Medical University, Chongqing 400042, China.ORCID https://orcid.org/0000-0003-4942-2215
Jiaqi LuoDepartment of Research, Top Gene Tech (Guangzhou) Co., Ltd., Guangzhou, China.ORCID https://orcid.org/0000-0001-5453-6431
Yi ZiDepartment of Research, Top Gene Tech (Guangzhou) Co., Ltd., Guangzhou, China.ORCID https://orcid.org/0000-0003-1954-3120
Zhaoji LanDepartment of Research, Top Gene Tech (Guangzhou) Co., Ltd., Guangzhou, China.ORCID https://orcid.org/0000-0001-8094-6856
Tianliangwen ZhouDepartment of Research, Top Gene Tech (Guangzhou) Co., Ltd., Guangzhou, China.ORCID https://orcid.org/0000-0003-1269-1489
Qihuan ZhiDepartment of Research, Top Gene Tech (Guangzhou) Co., Ltd., Guangzhou, China.ORCID https://orcid.org/0000-0001-8870-4595
Jiamin ZhanDepartment of Research, Top Gene Tech (Guangzhou) Co., Ltd., Guangzhou, China.ORCID https://orcid.org/0000-0002-8119-1552
Gang SunDepartment of Research, Top Gene Tech (Guangzhou) Co., Ltd., Guangzhou, China.ORCID https://orcid.org/0000-0002-7021-4026
Yujian ShiDepartment of Research, Top Gene Tech (Guangzhou) Co., Ltd., Guangzhou, China.ORCID https://orcid.org/0000-0003-1115-8084
Donglin LuoDepartment of Breast, Thyroid Surgery, Daping Hospital, Army Medical University, Chongqing 400042, China.ORCID https://orcid.org/0000-0001-9329-0147
Gene Tech (China) · CNArmy Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cancer risks vary in different Methods: A total of 3,641 cancer-free women and 4,278 female cancer patients were included in the study. Germline Results: A total of 729 subjects were detected with germline Conclusions:

Identifiers

PMID35378767
PMCPMC8976609
OpenAlexW4220701148

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.