Evidence map›Paper›PMID 40328488›Full record

ReviewThe British journal of general practice : the journal of the Royal College of General Practitioners2025

Evidence-based tests to monitor adults with type 2 diabetes mellitus in primary care: rapid reviews and consensus process.

Martha Mc Elwenspoek, Rachel O'Donnell, Joni Jackson, Sarah Dawson, Katie Charlwood, Alastair D Hay, Jessica Watson, Penny Whiting

Abstract readReview
In one paragraph

Review in The British journal of general practice : the journal of the Royal College of General Practitioners, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Martha Mc ElwenspoekNational Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol NHS Foundation Trust, Bristol, UK martha.elwenspoek@bristol.ac.uk.ORCID 0000-0002-9824-9335
Rachel O'DonnellPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0002-4354-8135
Joni JacksonNational Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol NHS Foundation Trust, Bristol, UK.ORCID 0000-0003-2591-7395
Sarah DawsonNational Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol NHS Foundation Trust, Bristol, UK.ORCID 0000-0002-6682-063X
Katie CharlwoodPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0009-0009-3383-1664
Alastair D HayPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0003-3012-375X
Jessica WatsonPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0002-8177-6438
Penny WhitingPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhen monitoring long-term conditions, both over- and undertesting can risk patient harm and increase healthcare costs.

aimTo evaluate the evidence base for type 2 diabetes mellitus (T2DM) monitoring tests and develop methods for creating evidence-based testing strategies. DESIGN AND

settingRapid reviews were conducted and a consensus process then used to evaluate the evidence base within primary care settings.

methodThe authors identified tests that are recommended or used commonly to monitor T2DM. Filtering questions were created to examine the rationale for use of each test, which were answered by stepwise rapid reviews of evidence cited by guidelines, systematic reviews, and individual studies. A consensus group of patient representatives and clinicians voted whether tests should be included or excluded based on the evidence or whether further evidence was needed.

resultsOf 15 tests, only haemoglobin A1c, to monitor disease progression and treatment response, and estimated glomerular filtration rate, to detect chronic kidney disease, have a strong evidence base. Based on available evidence and consensus group feedback, routinely testing for fructosamine to monitor disease progression; thyroid function, vitamin B12, ferritin, folate, clotting, bone profile, C-reactive protein, erythrocyte sedimentation rate, and B-type natriuretic peptide; and liver function for adverse treatment effects of metformin was deemed unnecessary. The study found insufficient evidence for lipids and haemoglobin to screen for secondary conditions, and for vitamin B12 to screen for adverse effects in those taking metformin.

conclusionThe study found that the evidence base for most T2DM monitoring tests is weak or absent. Clinicians should avoid non-evidence-based tests unless there are additional clinical indications for testing. Standardised evidence-based testing panels for T2DM and other long-term conditions could reduce unnecessary testing.

Indexed as

Diabetes Mellitus, Type 2Primary Health CareAdultBiomarkersConsensusDisease ProgressionEvidence-Based MedicineGlycated HemoglobinHumansPractice Guidelines as TopicBiomarkersGlycated Hemoglobinblood testschronic diseaseevidence-based medicineprimary health caretype 2 diabetes mellitus

Identifiers

PMID40328488
PMCPMC12745632

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.