Evidence map›Paper›PMID 32730324›Full record

ArticlePloS one2020

A register-based approach to identifying treatment-resistant depression-Comparison with clinical definitions.

David Hägg, Philip Brenner, Johan Reutfors, Gang Li, Allitia DiBernardo, Robert Bodén, Lena Brandt

Abstract readComparative Study
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  14. Excess deaths in treatment-resistant depression.Therapeutic advances in psychopharmacology · 2021
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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.

David HäggKarolinska Institutet, Centre for Pharmacoepidemiology, Karolinska University Hospital, Stockholm, Sweden.ORCID 0000-0002-2610-5033
Philip BrennerKarolinska Institutet, Centre for Pharmacoepidemiology, Karolinska University Hospital, Stockholm, Sweden.
Johan ReutforsKarolinska Institutet, Centre for Pharmacoepidemiology, Karolinska University Hospital, Stockholm, Sweden.
Gang LiJanssen, Global Services, Titusville, New Jersey, United States of America.
Allitia DiBernardoJanssen, Global Services, Titusville, New Jersey, United States of America.
Robert BodénDepartment of Neuroscience Psychiatry, Uppsala University, Uppsala, Sweden.
Lena BrandtKarolinska Institutet, Centre for Pharmacoepidemiology, Karolinska University Hospital, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral definitions of treatment-resistant depression (TRD) are used for clinical research, but no verified model for use in register data exists. We aimed to compare a novel model created for use in register data-the Karolinska Institutet Model (KIM)-to the clinical definitions regarding the proportion of patients identified with TRD, their characteristics and clinical outcomes.

methodsAll patients in Sweden initiating antidepressant treatment with a diagnosis of depression in specialized healthcare 2006-2014 were identified and followed in national registers. In KIM, patients who initiated a third sequential, >28-day antidepressant treatment trial were defined as having TRD. Proportion of TRD and patient characteristics were compared with register adaptations of the European Staging Model (ESM), Massachusetts General Hospital Staging Method (MGH-s), and Maudsley Staging Model (MSM). Differences in patient characteristics were assessed with Chi-square tests and one-way ANOVAs. Hazard ratios for psychiatric hospitalization and for death from external causes were estimated by Cox proportional hazard regressions.

resultsOut of 127,108 antidepressant initiators with depression, the highest proportion of TRD was found using the MGH-s (19.0%), followed by MSM (15.3%), KIM (12.9%), and ESM (9.5%). Clinical characteristics were similar across the models. Compared with TRD patients identified by KIM, those identified by ESM had a marginally higher risk for psychiatric hospitalization (adjusted hazard ratio [aHR] 1.03, 95%CI 1.00-1.05), whereas those identified by MGH-s (aHR 0.92; 0.90-0.94) and MSM (aHR 0.95; 0.94-0.97) had a slightly reduced risk. Patients identified by MGH-s showed a reduced mortality compared with KIM (aHR 0.84; 0.72-0.98).

conclusionsThis study provides insight into the differing characteristics of patients captured by various TRD models when used for register research. Models yielding lower proportions of TRD seemed to identify patients with greater morbidity. The KIM may be useful for register based research in TRD.

Indexed as

RegistriesAdolescentAdultAgedAged, 80 and overCohort StudiesDepressionFemaleHospitalizationHumansMaleMiddle AgedSwedenTime FactorsYoung Adult

Identifiers

PMID32730324
PMCPMC7392234

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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.