Evidence map›Paper›PMID 37035104›Full record

ArticleInternational journal of public health2023

Temporal Trends in the Incidence and Mortality of Major Reproductive-Related Cancers in Women in Guangzhou From 2010 to 2020: A Joinpoint and Age-Period-Cohort Study.

Suixiang Wang, Shan Liu, Zhiqiang Nie, Yexin Li, Ke Li, Huanzhu Liang, Qian Chen, Lin Wen, Huan Xu, Boheng Liang and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. 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

12 authors at 3 institutions in 1 country.

Suixiang WangGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Shan LiuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Zhiqiang NieDepartment of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Yexin LiDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Ke LiGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Huanzhu LiangDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Qian ChenDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Lin WenDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Huan XuGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Boheng LiangGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Pengzhe QinGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Chunxia JingDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Jinan University · CNGuangzhou Center for Disease Control and Prevention · CNGuangdong Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

NeoplasmsCohort EffectCohort StudiesFemaleHumansIncidenceRegistriesage-period-cohort analysisGuangzhoujoinpoint regressionreproductive-related cancerswomen

Identifiers

PMID37035104
PMCPMC10076564
OpenAlexW4360618059

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.