Evidence map›Paper›PMID 34407250›Full record

SynthesisDiabetic medicine : a journal of the British Diabetic Association2022

The bidirectional longitudinal association between depressive symptoms and HbA

Magdalena Beran, Rutendo Muzambi, Anouk Geraets, Juan Rafael Albertorio-Diaz, Marcel C Adriaanse, Marjolein M Iversen, Andrzej Kokoszka, Giesje Nefs, Arie Nouwen, Frans Pouwer and 4 more

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Diabetic medicine : a journal of the British Diabetic Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 5 pooled it
9.7field-weighted citation impact, top 1% 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

43 citing papers in PubMed, 5 syntheses or guidelines pooled it, 75 citations in OpenAlex.

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  5. The bidirectional longitudinal association between depressive symptoms and HbADiabetic medicine : a journal of the British Diabetic Association · 2022
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  9. Embedding psychological care in diabetes services: Why it's time to innovate and integrate.Diabetic medicine : a journal of the British Diabetic Association · 2026
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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

14 authors at 12 institutions in 9 countries.

Magdalena BeranSchool for Cardiovascular Disease (CARIM), Department of Internal Medicine, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0002-9950-5759
Rutendo MuzambiFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Anouk GeraetsSchool for Cardiovascular Disease (CARIM), Department of Internal Medicine, Maastricht University, Maastricht, The Netherlands.
Juan Rafael Albertorio-DiazDivision of Health Care Statistics, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA.
Marcel C AdriaanseDepartment of Health Sciences and Amsterdam Public Health Research Institute, Faculty of Science, Vrije Universiteit, Amsterdam, The Netherlands.
Marjolein M IversenDepartment of Health and Caring Sciences, Faculty of Health and Social Sciences, Western Norway University of Applied Sciences, Bergen, Norway.
Andrzej KokoszkaII Department of Psychiatry, Medical University of Warsaw, Warszawa, Poland.
Giesje NefsDepartment of Medical Psychology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands.ORCID 0000-0002-8772-740X
Arie NouwenDepartment of Psychology, Middlesex University, London, United Kingdom.ORCID 0000-0002-0609-4082
Frans PouwerDepartment of Psychology, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-8172-9818
Jörg W HuberSchool of Health Sciences, University of Brighton, Brighton, United Kingdom.
Andreas SchmittGerman Center for Diabetes Research (DZD, München-Neuherberg, Germany.ORCID 0000-0002-5913-1457
Miranda T SchramSchool for Cardiovascular Disease (CARIM), Department of Internal Medicine, Maastricht University, Maastricht, The Netherlands.
European Depression in Diabetes (EDID) Research Consortium
Maastricht University · NLCenters for Disease Control and Prevention · USDepartment of Health · ZAGerman Diabetes Center Mergentheim · DELondon School of Hygiene & Tropical Medicine · GBMaastricht University Medical Centre · NLMedical University of Warsaw · PLRadboud University Nijmegen · NLSteno Diabetes Centers · DKThe Open University · GBUniversity of Brighton · GBWestern Norway University of Applied Sciences · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate whether there is a bidirectional longitudinal association of depression with HbA

methodsWe conducted a systematic literature search in PubMed, PsycINFO, CINAHL and EMBASE for observational, longitudinal studies published from January 2000 to September 2020, assessing the association between depression and HbA

resultsWe retrieved 1642 studies; 26 studies were included in the systematic review and eleven in the meta-analysis. Most studies (16/26) focused on type 2 diabetes. Study quality was rated as good (n = 19), fair (n = 2) and poor (n = 5). Of the meta-analysed studies, six investigated the longitudinal association between self-reported depressive symptoms and HbA

conclusionsOur findings support a bidirectional longitudinal association between depressive symptoms and HbA REGISTRATION: PROSPERO ID CRD42019147551.

Indexed as

BiomarkersDepressionDiabetes Mellitus, Type 2Glycated HemoglobinHumansLongitudinal StudiesBiomarkersGlycated Hemoglobindepressiondiabetes mellitusglycated haemoglobin Alongitudinal studiesmeta-analysissystematic review

Identifiers

PMID34407250
PMCPMC9292323
OpenAlexW3195668624

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.