Evidence map›Paper›PMID 32211363›Full record

ArticleFrontiers in public health2020

Can the Use of Bayesian Analysis Methods Correct for Incompleteness in Electronic Health Records Diagnosis Data? Development of a Novel Method Using Simulated and Real-Life Clinical Data.

Elizabeth Ford, Philip Rooney, Peter Hurley, Seb Oliver, Stephen Bremner, Jackie Cassell

Abstract read
In one paragraph

Article in Frontiers in public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Artificial intelligence and the hunt for immunological disorders.Current opinion in allergy and clinical immunology · 2020
    Review
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

6 authors.

Elizabeth FordDepartment of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, United Kingdom.
Philip RooneyDepartment of Physics and Astronomy, University of Sussex, Brighton, United Kingdom.
Peter HurleyDepartment of Physics and Astronomy, University of Sussex, Brighton, United Kingdom.
Seb OliverDepartment of Physics and Astronomy, University of Sussex, Brighton, United Kingdom.
Stephen BremnerDepartment of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, United Kingdom.
Jackie CassellDepartment of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Electronic Health RecordsResearch DesignBayes TheoremBiasHealth ServicesHumansBayesian analysisdata qualityelectronic health recordsmethodologymissing datapatient data

Identifiers

PMID32211363
PMCPMC7066995

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.