ArticleIndian journal of psychiatry2023
Insight in patients with bipolar disorder: Findings from the bipolar disorder course and outcome study from India (BiD-CoIN study).
Article in Indian journal of psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Cognitive behavioral therapy for bipolar disorder: patient-level participation barriers and ketogenic metabolic therapy as a candidate adjunct.Frontiers in psychology · 2026Review
- Age of onset and course and outcome of bipolar disorder: Findings from the bipolar disorder course and outcome study from India (BiD-CoIN study).Indian journal of psychiatry · 2025Article
- Reasons for discontinuing and restarting lithium multiple times: a case-register study based on the South London and Maudsley NHS Foundation Trust Clinical Record Interactive Search system.Therapeutic advances in psychopharmacology · 2025Article
- A comparison of demographic profiles, clinical profile, course, and outcome of Bipolar I Disorder and Bipolar II Disorder: Findings from the Bipolar Disorder Course and Outcome study from India (BiD-CoIN study).Indian journal of psychiatry · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 13 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: There are limited number of studies evaluating insight among patients with bipolar disorder (BD). Aim: This study aimed to examine insight and its correlates in BD using the data from the multicenter BD course and outcome study from India (BiD-CoIN). The additional aim was to evaluate the insight in patients with BD using different scales and understand the correlates of insight. Materials and Methods: 773 BD patients presently in clinical remission were evaluated on the Insight Scale for Affective Disorders (ISAD), insight items of the Hamilton Depression Rating Scale (HDRS), and the Young Mania Rating Scale (YMRS). Results: The assessment scales influenced the prevalence of poor insight. Poorer insight irrespective of the assessment scale was consistently associated with higher residual depressive and manic symptoms, and a higher level of cognitive impairment and disability. Poor insight as assessed by ISAD was associated with a higher number of episodes in the lifetime, shorter duration of current remission, a higher number of depressive episodes, a higher amount of time spent in depressive episodes, higher depressive affective morbidity, a higher number of manic episodes, and higher residual depressive and manic symptoms. Conclusion: Poor insight in BD is consistently associated with higher residual depressive and manic symptoms and a higher level of cognitive impairment and disability. However, in terms of course variables, the correlates vary depending on the assessment method.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.