Evidence map›Paper›PMID 30533534›Full record

ArticleInternational journal of population data science2018

Demystifying probabilistic linkage: Common myths and misconceptions.

J C Doidge, K Harron

Abstract read
In one paragraph

Article in International journal of population data science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
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  15. Closing the UK care home data gap - methodological challenges and solutions.International journal of population data science · 2021
    Article
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  17. Article
  18. Article
  19. Article
  20. Reflections on modern methods: linkage error bias.International journal of epidemiology · 2019
    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

2 authors.

J C DoidgeAdministrative Data Research Centre for England, University College London.
K HarronDepartment of Health Services Research and Policy, London School of Hygiene and Tropical Medicine.

Funding

Wellcome Trust 103975
6 · The paper itself

Abstract

Many of the distinctions made between probabilistic and deterministic linkage are misleading. While these two approaches to record linkage operate in different ways and can produce different outputs, the distinctions between them are more a result of

Indexed as

data linkagedata matchingdeterministic linkageelectronic health recordsmedical record linkageprobabilistic linkagerecord linkage

Identifiers

PMID30533534
PMCPMC6281162

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.