Evidence map›Paper›PMID 40590080›Full record

SynthesisJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2025

Effect of interventions for the management of sleep disturbances in patients with long COVID: a systematic review and meta-analysis of randomized controlled trials.

Dai Yi Goh, Wai Ching Lam, Linda L D Zhong

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. VSL#3British journal of biomedical science · 2026
    Trial
  2. Article
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

3 authors.

Dai Yi GohSchool of Biological Sciences, Nanyang Technological University, Singapore.
Wai Ching LamSchool of Biological Sciences, Nanyang Technological University, Singapore.
Linda L D ZhongSchool of Biological Sciences, Nanyang Technological University, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesLong COVID presents with symptoms that persist for weeks or months postinfection, with sleep disturbances that significantly affect quality of life. The diverse approaches to managing sleep disturbances highlight the need for comparing treatment effectiveness to improve patient outcomes. This study systematically reviews and conducts a meta-analysis of randomized controlled trials to assess the effectiveness of current interventions for sleep disturbances in patients with long COVID and explores the underlying mechanisms and promising treatments.

methodsRelevant studies were identified through a comprehensive literature search across Embase, Web of Science, PubMed, Cochrane Library, China National Knowledge Infrastructure, and Wanfang Data databases. The included studies focused on interventions aimed at managing patients with long COVID with sleep disturbances. Data extraction and analysis were performed, followed by a meta-analysis of comparable studies. The quality of evidence was assessed using the Cochrane Risk of Bias Tool (RoB 2.0) and the Grading of Recommendations, Assessment, Development, and Evaluation system.

resultsOut of 3,352 retrieved studies, 14 were included in the systematic review and 2 in the meta-analysis. Interventions were categorized as pharmacological and nonpharmacological. Whereas most studies indicated improved sleep quality measured by standardized scales, some did not demonstrate significant benefits. The quality of evidence varied from low to moderate.

conclusionsThe results suggest that sleep disturbances in patients with long COVID result from a complex interplay of physiological, psychological, and neurological factors. Both pharmacological and nonpharmacological interventions show potential in managing these disturbances, with nonpharmacological approaches showing particular promise. To establish more robust evidence, more high-quality, large-scale randomized controlled trials are necessary in future research. CITATION: Goh DY, Lam WC, Zhong LLD. Effect of interventions for the management of sleep disturbances in patients with long COVID: a systematic review and meta-analysis of randomized controlled trials.

Indexed as

COVID-19Sleep Wake DisordersHumansQuality of LifeRandomized Controlled Trials as TopicSARS-CoV-2interventionslong COVIDmeta-analysissleep disturbancessystematic reviewtreatments

Identifiers

PMID40590080
PMCPMC12582205

What OpenQuestion holds

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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.