Evidence map›Paper›PMID 25063556›Full record

ArticleJournal of clinical epidemiology2014

Distinct trajectories of multimorbidity in primary care were identified using latent class growth analysis.

Vicky Y Strauss, Peter W Jones, Umesh T Kadam, Kelvin P Jordan

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors at 2 institutions in 1 country.

Vicky Y StraussArthritis Research UK Primary Care Centre, Keele University, the Institute of Primary Care and Health Sciences, Keele, Staffordshire ST5 5BG, United Kingdom; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Windmill Road, Oxford OX3 7LD, United Kingdom. Electronic address: Victoria.strauss@csm.ox.ac.uk.
Peter W JonesThe Health Service Research Unit, the Institute for Science & Technology in Medicine, Innovation Centre 1, Keele University, Staffordshire ST5 5BG, United Kingdom.
Umesh T KadamArthritis Research UK Primary Care Centre, Keele University, the Institute of Primary Care and Health Sciences, Keele, Staffordshire ST5 5BG, United Kingdom; The Health Service Research Unit, the Institute for Science & Technology in Medicine, Innovation Centre 1, Keele University, Staffordshire ST5 5BG, United Kingdom.
Kelvin P JordanArthritis Research UK Primary Care Centre, Keele University, the Institute of Primary Care and Health Sciences, Keele, Staffordshire ST5 5BG, United Kingdom.
Keele University · GBNuffield Orthopaedic Centre · GB

Funding

Medical Research Council G0501798
6 · The paper itself

Abstract

objectivesTo investigate the use of latent class growth analysis (LCGA) in understanding onset and changes in multimorbidity over time in older adults. STUDY DESIGN AND

settingThis study used primary care consultations for 42 consensus-defined chronic morbidities over 3 years (2003-2005) by 24,615 people aged >50 years at 10 UK general practices, which contribute to the Consultations in Primary Care Archive database. Distinct groups of people who had similar progression of multimorbidity over time were identified using LCGA. These derived trajectories were tested in another primary care consultation data set with linked self-reported health status.

resultsFive clusters of people representing different trajectories were identified: those who had no recorded chronic problems (40%), those who developed a first chronic morbidity over 3 years (10%), a developing multimorbidity group (37%), a group with increasing number of chronic morbidities (12%), and a multi-chronic group with many chronic morbidities (1%). These trajectories were also identified using another consultation database and associated with self-reported physical and mental health.

conclusionThere are distinct trajectories in the development of multimorbidity in primary care populations, which are associated with poor health. Future research needs to incorporate such trajectories when assessing progression of disease and deterioration of health.

Indexed as

AgedChronic DiseaseCluster AnalysisComorbidityDiagnostic Self EvaluationFemaleGeneral PracticeHumansLongitudinal StudiesMaleMedical RecordsMiddle AgedPrimary Health CareUnited KingdomComorbidityLatent class growth analysisLongitudinal studiesMedical recordsMultimorbidityPrimary health care

Identifiers

PMID25063556
PMCPMC4165436
OpenAlexW2100754843

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.