Evidence map›Paper›PMID 36211230›Full record

ArticlePublic health reviews2022

Nation-Wide Routinely Collected Health Datasets in China: A Scoping Review.

Yishu Liu, Shaoming Xiao, Xuejun Yin, Pei Gao, Jing Wu, Shangzhi Xiong, Carinna Hockham, Thomas Hone, Jason H Y Wu, Sallie Anne Pearson and 2 more

Abstract readScoping Review
PubMed Full text at PMC Publisher
In one paragraph

Article in Public health reviews, 2022. 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
  2. Review
  3. Article
  4. Article
  5. Review
  6. 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.

Yishu LiuGeorge Institute for Global Health, University of New South Wales, Newtown, NSW, Australia.
Shaoming XiaoThe George Institute for Global Health, Health Science Centre, Peking University, Beijing, China.
Xuejun YinGeorge Institute for Global Health, University of New South Wales, Newtown, NSW, Australia.
Pei GaoSchool of Public Health, Health Science Center, Peking University, Beijing, China.
Jing WuNational Center for Chronic and Non-Communicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Shangzhi XiongGeorge Institute for Global Health, University of New South Wales, Newtown, NSW, Australia.
Carinna HockhamThe George Institute for Global Health, UK, London, United Kingdom.
Thomas HoneSchool of Public Health, Faculty of Medicine, Imperial College London, London, United Kingdom.
Jason H Y WuGeorge Institute for Global Health, University of New South Wales, Newtown, NSW, Australia.
Sallie Anne PearsonCentre for Big Data Research in Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.
Bruce NealGeorge Institute for Global Health, University of New South Wales, Newtown, NSW, Australia.
Maoyi TianGeorge Institute for Global Health, University of New South Wales, Newtown, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

accessibilityChinarecord linkageroutinely collected health datascoping review

Identifiers

PMID36211230
PMCPMC9532513

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.