Evidence map›Paper›PMID 38834977›Full record

SynthesisBMC women's health2024

The association between violence against women and chronic pain: a systematic review and meta-analysis.

Allison Uvelli, Carola Ribaudo, Giacomo Gualtieri, Anna Coluccia, Fabio Ferretti

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

5 authors.

Allison UvelliDepartment of Medical Science, Surgery and Neurosciences, University of Siena, Viale Bracci, Siena, 53100, Italy. allison.uvelli@unisi.it.
Carola RibaudoAOUC Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla, Florence, 50134, Italy.
Giacomo GualtieriDepartment of Medical Science, Surgery and Neurosciences, University of Siena, Viale Bracci, Siena, 53100, Italy.
Anna ColucciaDepartment of Medical Science, Surgery and Neurosciences, University of Siena, Viale Bracci, Siena, 53100, Italy.
Fabio FerrettiDepartment of Medical Science, Surgery and Neurosciences, University of Siena, Viale Bracci, Siena, 53100, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Violence against women is a phenomenon that involves at least 35% of women worldwide. Violence can be sexual, physical, and/or psychological, perpetrated by the partner, another family member, or a stranger. Violence is a public health problem because its consequences include higher morbidity, higher mortality, and short and long-term physical and psychological health diseases. Most studies prove an association between any type of violence and some chronic pain diagnoses but no one has done a complete collection of this evidence. This systematic review and meta-analysis aimed to evaluate whether this association is statistically significant, including the largest number of studies. Through the inclusion of 37 articles, the association has been demonstrated. Compared with no history of violence, women who did experience violence showed 2 times greater odds of developing chronic pain. The impact of violence was significant also on fibromyalgia separately, but not on pelvic pain.PROSPERO registrationPROSPERO CRD42023425477.

Indexed as

Chronic PainFemaleFibromyalgiaHumansPelvic PainChronic painSystematic reviewViolence against women

Identifiers

PMID38834977
PMCPMC11149284

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.