Evidence map›Paper›PMID 35692316›Full record

SynthesisFrontiers in public health2022

A Comprehensive Systematic Review of Data Linkage Publications on Diabetes in Australia.

Ngan T T Dinh, Ingrid A Cox, Barbara de Graaff, Julie A Campbell, Brian Stokes, Andrew J Palmer

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

6 authors.

Ngan T T DinhHealth Economics Research Group, Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Ingrid A CoxHealth Economics Research Group, Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Barbara de GraaffHealth Economics Research Group, Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Julie A CampbellHealth Economics Research Group, Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Brian StokesTasmanian Data Linkage Unit, Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Andrew J PalmerHealth Economics Research Group, Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Our study aimed to identify the common themes, knowledge gaps and to evaluate the quality of data linkage research on diabetes in Australia. Methods: This systematic review was developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (the PRISMA Statement). Six biomedical databases and the Australian Population Health Research Network (PHRN) website were searched. A narrative synthesis was conducted to comprehensively identify the common themes and knowledge gaps. The guidelines for studies involving data linkage were used to appraise methodological quality of included studies. Results: After screening and hand-searching, 118 studies were included in the final analysis. Data linkage publications confirmed negative health outcomes in people with diabetes, reported risk factors for diabetes and its complications, and found an inverse association between primary care use and hospitalization. Linked data were used to validate data sources and diabetes instruments. There were limited publications investigating healthcare expenditure and adverse drug reactions (ADRs) in people with diabetes. Regarding methodological assessment, important information about the linkage performed was under-reported in included studies. Conclusions: In the future, more up to date data linkage research addressing costs of diabetes and its complications in a contemporary Australian setting, as well as research assessing ADRs of recently approved antidiabetic medications, are required.

Indexed as

Diabetes MellitusInformation Storage and RetrievalAustraliaDelivery of Health CareHumansResearch ReportAustraliadata linkagediabeteslinked datalinked recordsmedical record linkagerecord linkage

Identifiers

PMID35692316
PMCPMC9174992

What OpenQuestion holds

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Registered trials

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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.