Evidence map›Paper›PMID 35705339›Full record

ArticleBMJ open2022

Evaluation of routinely collected records for dementia outcomes in UK: a prospective cohort study.

Shabina Hayat, Robert Luben, Kay-Tee Khaw, Nicholas Wareham, Carol Brayne

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Role of Anemia in Dementia Risk Among Veterans With Incident CKD.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2023
    Observational
  7. Article
  8. Article
  9. Alzheimer's & dementia (Amsterdam, Netherlands)
    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

5 authors at 3 institutions in 1 country.

Shabina HayatDepartment of Psychiatry, University of Cambridge, Cambridge, Cambridgeshire, UK sah63@medschl.cam.ac.uk.ORCID 0000-0001-9068-8723
Robert LubenMRC Epidemiology Unit, Cambridge, Cambridgeshire, UK.
Kay-Tee KhawMRC Epidemiology Unit, Cambridge, Cambridgeshire, UK.
Nicholas WarehamMRC Epidemiology Unit, Cambridge, Cambridgeshire, UK.
Carol BrayneDepartment of Psychiatry, University of Cambridge, Cambridge, Cambridgeshire, UK.
MRC Epidemiology Unit · GBUniversity of Cambridge · GBMoorfields Eye Hospital NHS Foundation Trust · GB

Funding

Cancer Research UK 14136Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_UU_00006/1Medical Research Council MC_UU_12015/1Medical Research Council MR/N003284/1
6 · The paper itself

Abstract

objectivesTo evaluate the characteristics of individuals recorded as having a dementia diagnosis in different routinely collected records and to examine the extent of overlap of dementia coding across data sources. Also, to present comparisons of secondary and primary care records providing value for researchers using routinely collected records for dementia outcome capture. STUDY

designA prospective cohort study. SETTING AND

participantsA cohort of 25 639 men and women in Norfolk, aged 40-79 years at recruitment (1993-1997) followed until 2018 linked to routinely collected to identify dementia cases. Data sources include mortality from death certification and National Health Service (NHS) hospital or secondary care records. Primary care records for a subset of the cohort were also reviewed. PRIMARY OUTCOME MEASURE: Diagnosis of dementia (any-cause).

resultsOver 2000 participants (n=2635 individuals) were found to have a dementia diagnosis recorded in one or more of the data sources examined. Limited concordance was observed across the secondary care data sources. We also observed discrepancies with primary care records for the subset and report on potential linkage-related selection bias.

conclusionsUse of different types of record linkage from varying parts of the UK's health system reveals differences in recorded dementia diagnosis, indicating that dementia can be identified to varying extents in different parts of the NHS system. However, there is considerable variation, and limited overlap in those identified. We present potential selection biases that might occur depending on whether cause of death, or primary and secondary care data sources are used. With the expansion of using routinely collected health data, researchers must be aware of these potential biases and inaccuracies, reporting carefully on the likely extent of limitations and challenges of the data sources they use.

Indexed as

DementiaState MedicineCohort StudiesFemaleHumansMaleProspective StudiesUnited KingdomDementiaEPIDEMIOLOGYPUBLIC HEALTH

Identifiers

PMID35705339
PMCPMC9204445
OpenAlexW4282919866

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.