ArticleJournal of psychiatric research2022
The relationship between the HDRS insomnia items and polysomnographic (PSG) measures in individuals with treatment-resistant depression.
Article in Journal of psychiatric research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 5 papers.
What it found
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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.
An Investigation of the Antidepressant Efficacy of an Antiglutamatergic Agent in Bipolar Depression
Investigation of the Rapid (Next Day) Antidepressant Effects of an NMDA Antagonist
Efficacy and Tolerability of Riluzole in Treatment Resistant Depression
Who cites it
5 citing papers in PubMed, 14 citations in OpenAlex.
- Exploring the link between waking gamma and sleep delta power in healthy volunteers and individuals with treatment-resistant depression.Journal of affective disorders · 2025Trial
- The Relationship of Early Sleep Improvement With Response to Pharmacotherapy in Unipolar Psychotic Depression.Journal of clinical psychopharmacologyTrial
- Reduced Slow-Wave Sleep and Sleep-Disordered Breathing Are Linked to Suicidal Ideation in Major Depressive Disorder.Brain and behavior · 2026Article
- Role of glymphatic system function in cognitive dysfunction among patients with bipolar disorder.The international journal of neuropsychopharmacology · 2026Article
- Glymphatic dysfunction associated with cortisol dysregulation in major depressive disorder.Translational psychiatry · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 2 countries.
Funding
Abstract
The Hamilton Depression Rating Scale (HDRS), which includes several insomnia-related items, is potentially valuable in evaluating both depressive and sleep symptoms. However, the HDRS insomnia items have not been fully assessed by objective measures. This study compared the three HDRS insomnia items (Early, Middle, and Late) with the corresponding objective polysomnography (PSG) measures of Sleep Latency (SL), middle wakefulness, and late wakefulness. The study used HDRS and PSG data from 130 baseline nights, drawn from 80 participants enrolled in clinical trials for treatment-resistant depression (TRD). Mixed models evaluated the relationship between the HDRS and PSG, and primary analyses examined the Early, Middle, and Late Insomnia HDRS items and the PSG variables SL and Waking After Sleep Onset (WASO). To approximate the Middle and Late HDRS Insomnia items more closely, WASO was divided into WASO before 4:00 a.m. (waking between Sleep Onset and 0400 h) and WASO after 4:00 a.m. (waking between 0400 h and 0700 h). Secondary analyses included summed HDRS Global Insomnia score. HDRS Early and Late Insomnia items predicted objective PSG measures of early and late wakefulness. For Early Insomnia, each additional point in severity was associated with 61% [95%CI: 35%, 93%] longer SL. For Late Insomnia, each additional point was associated with a 35% [95% CI: 13%, 63%] increase in WASO after 4:00 a.m. Middle Insomnia was marginally related to WASO before 4:00 a.m. HDRS Early and Late Insomnia items may thus provide an index of wakefulness in TRD and help monitor treatment response when objective measures such as PSG are not feasible. CLINICAL TRIALS IDENTIFIER: www.clinicaltrials.gov (NCT01204918, NCT00054704, NCT00088699).
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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.