Evidence map›Paper›PMID 30175870›Full record

ArticleDiabetic medicine : a journal of the British Diabetic Association2018

Prevalence and predictors of delayed clinical diagnosis of Type 2 diabetes: a longitudinal cohort study.

A Gopalan, P Mishra, S E Alexeeff, M A Blatchins, E Kim, A H Man, R W Grant

Abstract read
In one paragraph

Article in Diabetic medicine : a journal of the British Diabetic Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  6. Review
  7. Therapeutic Inertia in an Insured Population with Type 2 Diabetes in the United States: A Retrospective Cohort Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Article
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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

7 authors at 3 institutions in 1 country.

A GopalanDivison of Research, Kaiser Permanente Northern California, Oakland, CA, USA.ORCID 0000-0002-9300-1154
P MishraDivison of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
S E AlexeeffDivison of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
M A BlatchinsDivison of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
E KimOakland Medical Center, Kaiser Permanente Northern California, Oakland, CA, USA.
A H ManSanta Clara Medical Center, Kaiser Permanente Northern California, Santa Clara, CA, USA.
R W GrantDivison of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Kaiser Permanente · USKaiser Permanente Oakland Medical Center · USKaiser Permanente Santa Clara Medical Center · US

Funding

Mentored Research to Improve Care for Complex Patients with DiabetesK24DK109114 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI GRANT, RICHARD W · 2016 to 2020
$914k
NIDDK NIH HHS K24 DK109114NIDDK NIH HHS K24DK109114
6 · The paper itself

Abstract

aimsTo examine the prevalence and person-level predictors of undiagnosed Type 2 diabetes among adults with elevated HbA

methodsWe identified adults without diabetes who had a first elevated HbA

resultsOf the 18 356 adults with a first elevated index HbA

conclusionsAlmost one-third of adults with an elevated HbA

Indexed as

AdultAgedAged, 80 and overCohort StudiesDelayed DiagnosisDiabetes Mellitus, Type 2FemaleHumansLongitudinal StudiesMaleMiddle AgedPrevalenceRetrospective StudiesRisk FactorsYoung Adult

Identifiers

PMID30175870
PMCPMC6481650
OpenAlexW2890768684

What OpenQuestion holds

Textmetadata
LicenceTDM
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.