Evidence map›Paper›PMID 40100840›Full record

ArticlePloS one2025

The silence of opioids-dependent chronic pain patients: A text mining analysis from sex and gender perspective.

Claudia Carratalá, Laura Agulló, Patricia Carracedo, Noelia Serrano-Gadea, Mónica Escorial, Elena López-Mañogil, Pau Miró, Sónia F Bernardes, Ana M Peiró

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Claudia CarrataláClinical Pharmacology, Toxicology and Chemical Safety Unit, Institute of Bioengineering, Miguel Hernández University, Elche, Spain.
Laura AgullóNeuropharmacology Applied to Pain (NED), Clinical Pharmacology Unit, Dr. Balmis General University Hospital, Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain.ORCID https://orcid.org/0000-0002-8739-0456
Patricia CarracedoDepartment of Statistics and Operational Research, Universitat Politècnica de València, Alcoy Campus, Alicante, Spain.ORCID https://orcid.org/0000-0002-9352-9565
Noelia Serrano-GadeaClinical Pharmacology, Toxicology and Chemical Safety Unit, Institute of Bioengineering, Miguel Hernández University, Elche, Spain.ORCID https://orcid.org/0009-0004-0715-427X
Mónica EscorialNeuropharmacology Applied to Pain (NED), Clinical Pharmacology Unit, Dr. Balmis General University Hospital, Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain.ORCID https://orcid.org/0000-0003-3235-1879
Elena López-MañogilFaculty of Psychology, Universidad Católica de Murcia, Murcia, Spain.
Pau MiróDepartment of Statistics and Operational Research, Universitat Politècnica de València, Alcoy Campus, Alicante, Spain.
Sónia F BernardesIscte-University Institute of Lisbon, Centre for Social Research and Intervention (CIS-Iscte), Lisbon, Portugal.
Ana M PeiróClinical Pharmacology, Toxicology and Chemical Safety Unit, Institute of Bioengineering, Miguel Hernández University, Elche, Spain.ORCID https://orcid.org/0000-0002-2385-3749

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing evidence indicates sex-related differences in Prescription Opioid Use Disorder (OUD) in Chronic Non-Cancer Pain (CNCP). However to date, there is scant evidence for other socioeconomic factors in these differences. Our aim was to enquire about the influence of gender and drug copayment of OUD narratives by the text mining analysis. A prospective mixed-methods study was designed and performed at Pain Unit (PU) including 238 real world patients with CNCP divided in controls (n = 206) and OUD cases (n = 32) due to DSM-5 diagnosis Variables related to pain, sleep, mental and health status were collected in together with sex and gender interaction, in pain status, along 30-45 min face-to-face interviews. Sex differences were observed due to women's significantly older ages, with a stronger impact on mental health, and an even stronger one for the OUD women. Globally, OUD cases were more unemployed vs the CNCP controls, and on a significantly higher median opioid daily dose of 90 [100] mg/day. Although OUD participants did more social activities, they tended to use less vocabulary to express themselves regardless of their sex, gender role or economic status. In contrast, the CNCP participants presented more differences driven by their incomes, with "limited" being the most discriminating word for those on low income, followed by "less" and "help". Here, the most significant word of CNCP women was "husband", followed by "tasks". In contrast, gender reproductive roles shared similarities in both sexes, being one of the most discriminatory words "help". The data show that OUD patients seem to have a marked influence of OUD on poorer lexicon and simpler narrative, together with a significant impact of socioeconomic factors on the CNCP narratives. The conclusion suggests to extend the research to better understand the effect of sex, gender and socioeconomic status in CNCP especially on OUD women's health.

Indexed as

Analgesics, OpioidChronic PainData MiningOpioid-Related DisordersAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesSex FactorsSocioeconomic FactorsAnalgesics, Opioid

Identifiers

PMID40100840
PMCPMC11918440

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LicenceCC BY
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Registered trials

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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.