Evidence map›Paper›PMID 32373785›Full record

ArticleThe Lancet. Digital health2020

Data sharing in the era of COVID-19.

Christopher V Cosgriff, Daniel K Ebner, Leo Anthony Celi

Abstract readLetter
In one paragraph

Article in The Lancet. Digital health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
–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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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  6. Article
  7. Article
  8. Article
  9. DigiHEALTH: Suite of Digital Solutions for Long-Term Healthy and Active Aging.International journal of environmental research and public health · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. The worsening divergence of biotechnology: the importance of risk culture.Frontiers in bioengineering and biotechnology · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Review
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  19. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Christopher V CosgriffMIT Critical Data, Laboratory for Computational Physiology, Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Daniel K EbnerMIT Critical Data, Laboratory for Computational Physiology, Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Leo Anthony CeliMIT Critical Data, Laboratory for Computational Physiology, Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19Information DisseminationHumansPandemicsSARS-CoV-2

Identifiers

PMID32373785
PMCPMC7194831

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.