Evidence map›Paper›PMID 33017458›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2020

Corrigendum to: Longitudinal Changes in Depressive Symptoms and Risks of Cardiovascular Disease and All-Cause Mortality: A Nationwide Population-Based Cohort Study.

Haibin Li, Frank Qian, Chenbei Hou, Xia Li, Qi Gao, Yanxia Luo, Lixin Tao, Xinghua Yang, Wei Wang, Deqiang Zheng and 1 more

Abstract readPublished Erratum
PubMed Full text at PMC Publisher
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Haibin LiDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Frank QianDepartment of Medicine, University of Chicago, Illinois.
Chenbei HouDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Xia LiDepartment of Mathematics and Statistics, La Trobe University, Bundoora, Victoria, Australia.
Qi GaoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Yanxia LuoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Lixin TaoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Xinghua YangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Wei WangGlobal Health and Genomics, School of Medical Sciences and Health, Edith Cowan University, Perth, Western Australia, Australia.
Deqiang ZhengDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Xiuhua GuoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.

Funding

Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in IndiaR03AG043052 · NIA · RAND CORPORATION · PI LEE, JINKOOK · 2012 to 2012
$95k
NIA NIH HHS R03 AG043052
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID33017458
PMCPMC8348227

What OpenQuestion holds

Textmetadata
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.