Research progress on assessment tools for sleep disorders in patients with postherpetic neuralgia

preprint OA: closed
Full text JSON View at publisher
AI-generated deep summary by claude@2026-06, 2026-06-24 · read from full text

This preprint reviews the current sleep-disorder assessment tools used in patients with postherpetic neuralgia, focusing on what they measure, their advantages, and their limitations as they apply to PHN patients. It reports that assessment in PHN currently depends largely on self-report and related monitoring devices, with no unified standards across tools. A key caveat stated by the authors is that the work is a preprint and not peer reviewed, so findings and characterizations are preliminary. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

Postherpetic neuralgia (PHN) is a common neuropathic pain syndrome in which chronic pain is often accompanied by severe sleep disturbances that affect patients’ quality of life. At present, the evaluation of sleep disorders in patients with PHN mainly relies on patients’ self-report and monitoring of related devices, and there is still a lack of unified standards. This paper systematically evaluates the current sleep disorder assessment tools used in PHN patients from the aspects of assessment content, application advantages, limitations and characteristics of PHN patients, aiming to reveal their application characteristics and research status in PHN patients, help optimize clinical management strategies for PHN patients, and provide a basis for improving existing tools or developing new tools. This will drive technological innovation and progress in the assessment of sleep disorders.
Full text 1,945 characters · extracted from oa-doi-fallback · 2 sections · click to expand

Abstract

Postherpetic neuralgia (PHN) is a common neuropathic pain syndrome in which chronic pain is often accompanied by severe sleep disturbances that affect patients’ quality of life. At present, the evaluation of sleep disorders in patients with PHN mainly relies on patients’ self-report and monitoring of related devices, and there is still a lack of unified standards. This paper systematically evaluates the current sleep disorder assessment tools used in PHN patients from the aspects of assessment content, application advantages, limitations and characteristics of PHN patients, aiming to reveal their application characteristics and research status in PHN patients, help optimize clinical management strategies for PHN patients, and provide a basis for improving existing tools or developing new tools. This will drive technological innovation and progress in the assessment of sleep disorders. Supplementary Material File (manuscript.docx) - Download - 244.06 KB Information & Authors Information Version history Copyright This work is licensed under a Non Exclusive No Reuse License.

Keywords

Authors Metrics & Citations Metrics Article Usage 174views 91downloads Citations Download citation Zijie Tang, Le Ning, Ge Wu, et al. Research progress on assessment tools for sleep disorders in patients with postherpetic neuralgia. Authorea. 17 March 2025. DOI: https://doi.org/10.22541/au.174224544.43526760/v1 DOI: https://doi.org/10.22541/au.174224544.43526760/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00