Evidence map›Paper›PMID 22002804›Full record

ReviewCurrent psychiatry reports2012

Serious psychological distress and diabetes: a review of the literature.

Leonard E Egede, Clara E Dismuke

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current psychiatry reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

60 citing papers in PubMed, 129 citations in OpenAlex.

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  17. Determinants of Telehealth Service Use among Mental Health Patients: A Case of Rural Louisiana.International journal of environmental research and public health · 2022
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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

2 authors at 2 institutions in 1 country.

Leonard E EgedeCenter for Disease Prevention and Health Interventions for Diverse Population, Ralph H. Johnson Veterans Affairs Medical Center, Center for Health Disparities Research, Medical University of South Carolina, Charleston, SC 29425-0593, USA. egedel@musc.edu
Clara E Dismuke
Medical University of South Carolina · USRalph H. Johnson VA Medical Center · US

Funding

Technology Intensified Diabetes Education Study in AA with T2DM (TIDES)K24DK093699 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI EGEDE, LEONARD E. · 2011 to 2020
$1.5M
NIDDK NIH HHS K24 DK093699
6 · The paper itself

Abstract

With the development of a measure of serious psychological distress (SPD) in 2002, more attention is being paid to the association of SPD with diabetes outcomes and processes of care. We review the literature on the relationship between SPD and diabetes processes of care and outcomes, as well as the literature on the relationship between specific mental health diagnoses and diabetes processes of care and outcomes during the 2010 to 2011 period. There is an extensive literature on the association of mental health diagnoses with diabetes outcomes, especially for depression. Because the Kessler scale measures a much broader range of mental health issues than any specific DSM-IV/Structured Clinical Interview for DSM Disorders diagnosis and is designed to assess SPD at the population level, additional research needs to be conducted both in clinical settings and using large administrative datasets to examine the association between SPD and diabetes outcomes and processes of care.

Indexed as

AnxietyDepressionDiabetes MellitusDiagnostic and Statistical Manual of Mental DisordersHumansIncidenceInternational Classification of DiseasesMental DisordersOutcome Assessment, Health CareStress Disorders, Post-TraumaticStress, Psychological

Identifiers

PMID22002804
OpenAlexW2091042638

What OpenQuestion holds

Textmetadata
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.