Evidence mapPaperPMID 42212477Full record

ReviewPain2026

Preclinical models of female pelvic pain disorders.

Irene Scuffi, Matilde Marini, Felice Petraglia, Lorenzo Landini, Romina Nassini, Francesco De Logu

Abstract readReview
In one paragraph

Review in Pain, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Irene ScuffiDepartment of Health Sciences, Clinical Pharmacology and Oncology Section, University of Florence, Florence, Italy.
Matilde MariniDepartment of Health Sciences, Clinical Pharmacology and Oncology Section, University of Florence, Florence, Italy.
Felice PetragliaDepartment of Experimental, Clinical and Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Lorenzo LandiniDepartment of Health Sciences, Clinical Pharmacology and Oncology Section, University of Florence, Florence, Italy.
Romina NassiniDepartment of Health Sciences, Clinical Pharmacology and Oncology Section, University of Florence, Florence, Italy.ORCID 0000-0002-9223-8395
Francesco De LoguDepartment of Health Sciences, Clinical Pharmacology and Oncology Section, University of Florence, Florence, Italy.

Funding

Fondazione Italiana per la Ricerca sul Cancro IG 2020-ID 24503Fondo Italiano per la Scienza FIS-2023-03323
6 · The paper itself

Abstract

abstractPain is influenced by a complex interplay of biological, psychological, and social factors. Sex has emerged as a key determinant of vulnerability to chronic pain and a major risk factor for poor response to available pharmacological treatments. Women report higher rates of chronic pain and exhibit greater pain sensitivity; however, the underlying mechanisms remain poorly understood. Preclinical models are essential to uncover sex-specific biological pathways involved in pain and to guide the development of novel, targeted therapies through translational approaches. This review summarizes animal models of female-associated pelvic pain disorders, including endometriosis, adenomyosis, dysmenorrhea, vulvodynia, interstitial cystitis, uterine leiomyomas, chronic pelvic pain, and pelvic inflammatory disease. These models recapitulate key features such as lesion biology, neuroimmune interactions, and pain behaviors also observed in patients. However, current models still face limitations in capturing spontaneous pain dynamics, hormonal complexity, and psychosocial influences. Refining and integrating biological, behavioral, and sex-specific endpoints will be crucial to enhance their translational relevance and advance precision pain therapies for women.

Indexed as

Disease Models, AnimalPelvic PainAnimalsFemaleHumansVulvodyniaAdenomyosisDysmenorrheaEndometriosisPainPelvic inflammatory diseaseSexUterine leiomyomasVulvodyniaWomen

Identifiers

PMID42212477
PMCPMC13382874

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.