Evidence map›Paper›PMID 40478381›Full record

ArticleInternational journal of bipolar disorders2025

The Swedish bipolar collection (SWEBIC).

Mikael Landén, Erik Joas, Alina Karanti, Lydia Melchior, Olof Zachrisson, Robert Sigström, Elin Hörbeck, Andreas Göteson, Erik Pålsson, Lina Jonsson

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In one paragraph

Article in International journal of bipolar disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

10 authors.

Mikael LandénDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Blå Stråket 15, 413 45, Gothenburg, Sweden. mikael.landen@neuro.gu.se.
Erik JoasDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Blå Stråket 15, 413 45, Gothenburg, Sweden.
Alina KarantiDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Blå Stråket 15, 413 45, Gothenburg, Sweden.
Lydia MelchiorDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Blå Stråket 15, 413 45, Gothenburg, Sweden.
Olof ZachrissonDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Blå Stråket 15, 413 45, Gothenburg, Sweden.
Robert SigströmDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Blå Stråket 15, 413 45, Gothenburg, Sweden.
Elin HörbeckDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Blå Stråket 15, 413 45, Gothenburg, Sweden.
Andreas GötesonDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Blå Stråket 15, 413 45, Gothenburg, Sweden.
Erik PålssonDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Blå Stråket 15, 413 45, Gothenburg, Sweden.
Lina JonssonDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Blå Stråket 15, 413 45, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Swedish Bipolar Collection (SWEBIC) was launched to investigate the genetic basis of bipolar disorder. Here, we provide a detailed overview of the procedures and assessment tools used during the SWEBIC data collection.

methodsThe SWEBIC collection occurred in two waves, the first from 2009 to 2013, followed by the second wave from 2017 to 2022. Recruitment primarily relied on the Swedish National Quality Register for Bipolar Disorders (BipoläR). Additional sources included the Hospital Discharge Register, an online questionnaire, and identification of individuals with bipolar disorder from other cohort studies. We assessed the diagnostic validity of the BipoläR entries by reviewing randomly selected medical records from the study participants.

resultsAcross the two waves, SWEBIC recruited 8580 individuals diagnosed with bipolar disorder, 89 percent from BipoläR. The bipolar disorder diagnoses in BipoläR showed high agreement with medical records (positive predictive value of 0.90). The response rate in BipoläR was higher during the first (61%) than the second wave (23%). Further, the proportion of individuals with subtype 1 was higher in the first wave. Including individuals from other cohort studies, the total number of DNA samples from individuals with bipolar disorder in SWEBIC exceeds 10,000.

conclusionsUsing quality registries to identify patients for large cohort studies facilitates genetic research with high recruitment efficiency and throughput combined with rich phenotypic data. The extensive data and biological samples collected in SWEBIC will continue to be a valuable resource for future studies, advancing our understanding of the genetic basis of bipolar disorder.

Indexed as

Bipolar disorderCohort studyGenetic association studyRegistry

Identifiers

PMID40478381
PMCPMC12144026

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