Evidence map›Paper›PMID 39006647›Full record

ArticleCureus2024

The Impact of Mind-Body Medicine on Patient-Reported Outcomes in the Management of Chronic Pelvic Pain.

Aakriti R Carrubba, Kristin A Lothman, Colleen S Ball, Amy L Mongan, Adam I Perlman, Anita Chen

Abstract read
In one paragraph

Article in Cureus, 2024. 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.

Aakriti R CarrubbaMedical and Surgical Gynecology, Mayo Clinic, Jacksonville, USA.
Kristin A LothmanIntegrative Medicine, Mayo Clinic, Jacksonville, USA.
Colleen S BallStatistics, Mayo Clinic, Jacksonville, USA.
Amy L MonganNursing, Mayo Clinic, Jacksonville, USA.
Adam I PerlmanIntegrative Medicine, Pendulum Therapeutics, San Francisco, USA.
Anita ChenMedical and Surgical Gynecology, Mayo Clinic, Jacksonville, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Recent research has suggested a role for mindfulness-based therapy for patients with chronic medical conditions, but there is limited data on pelvic pain. We aim to determine if mindfulness improves patient-reported outcomes in pelvic pain and to determine the feasibility of implementation of this program. Methodology This is a pilot feasibility trial consisting of women with chronic pelvic pain at a single academic tertiary referral clinic. A convenience sample of 15 subjects was enrolled. Subjects were scheduled for three 60-minute virtual mind-body sessions with a certified counselor. Baseline scores were obtained using the Patient-Reported Outcomes Measurement Information System-Computer Adaptive Testing (PROMIS-CAT) platform. They were repeated three months and six months after enrollment. Descriptive statistics were performed. Results A total of 15 patients were enrolled in the study. Among the 13 patients who completed the three-month PROMIS-CAT scores, seven had a clinically significant 5-point improvement in sleep disturbance T-score. At least a 5-point improvement in fatigue, pain interference, and ability to participate in social roles and activities T-scores were observed in six patients each. There was a 40% dropout rate. Conclusions A formal mind-body counseling program can support patients with chronic pelvic pain. Our trial demonstrated the feasibility of establishing a program and modest improvement in patient-reported quality of life.

Indexed as

chronic pelvic painintegrative medicinemind-body counselingmindfulnesspatient-reported outcomes

Identifiers

PMID39006647
PMCPMC11246658

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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.