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Record W4408311511 · doi:10.33920/med-14-2501-03

Analgesic effect of interstitial and transvaginal electrical nerve stimulation in the treatment of women with chronic postpartum pelvic pain - Clinical study

2025· article· en· W4408311511 on OpenAlexaboutno aff
Mustafa Al-Zamil, Zarina M. Babochkina, Ekaterina S. Vasilieva, V.E. Illarionov

Bibliographic record

VenueFizioterapevt (Physiotherapist) · 2025
Typearticle
Languageen
FieldMedicine
TopicPregnancy-related medical research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePelvic painAnalgesicAnesthesiaStimulationSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Abstract: 11,6 % of women may develop pelvic pain after childbirth as a result of dysfunction of the pelvic floor muscles. According to some data, this pain syndrome can last more than 3 years; in most cases it has a highly pharmacoresistant form. In clinical practice, transvaginal electrical nerve stimulation (TVES) and interstitial electrical nerve stimulation of the pelvic floor muscles (VTES) are used in the treatment of this disease. However, the characteristics of the analgesic effect of these treatment methods have not been sufficiently studied and have not been compared with each other. The purpose of the study. To compare the analgesic effect TVES and VTES in the treatment of women with pelvic pain syndrome due to postpartum pelvic floor dysfunction. Material and methods. We observed 56 women with chronic pelvic pain syndrome due to postpartum dysfunction of the pelvic floor muscles. 28 women underwent electrical neurostimulation using an intravaginal double electrode using high-frequency low-amplitude (50 Hz-30 μs) and low-frequency high-amplitude (1 Hz-100 μs) modalities for 20 minutes. The number of sessions was 15 with procedures performed every other day. 28 women underwent a course of interstitial electrical neurostimulation of the pelvic floor muscles using high-frequency low-amplitude (50 Hz-30 μs) and low-frequency high-amplitude (1 Hz-100 μs) modalities for 20 minutes. The procedures failed 15 times, every other day. Pain was assessed using a visual analogue scale (VAS) and the McGill Pain Questionnaire (MPQ). Results. In all women studied, pain syndrome according to VAS exceeded 5 points and averaged 6.3±0.4 points in the TVES group and 6.4±0.4 points in the VTES group. The MPQ indicators on the sensory and affective scales were 20.1±1.2 and 14.2±0.9 points, respectively, in the group who attended the TVES course and 20.7±1.2 and 14.1±0.9, respectively, in the group who attended VTES course. After treatment, there was a decrease in pain syndrome determined by VAS to 49% (P≤0.01) against the background of TVES and 73% (P≤0.01) against the background of VTES. A reduction in pain on the MPQ was observed on the sensory scale of 31% (P≤0.01) in the TVES group and 64% (P≤0.01) in the VTES group. A decrease in pain on the affective scale was observed after TVES by 28.2% (p>1), and after VTES by 68.8% (P≤0.01). Conclusion. The use of VTES exceeds the analgesic effect of the method of TVES by 47% in the treatment of women with pelvic pain syndrome due to postpartum dysfunction of the pelvic floor muscles. At the same time, affective reactions to chronic pain syndrome significantly regress after VTES and respond to a lesser extent to the effects of TVES.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.358
Teacher spread0.346 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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