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Record W4223578282 · doi:10.21802/artm.2022.1.21.79

PRACTICAL ASPECTS OF MANAGEMENT OF PATIENT WITH CHRONIC PELVIC PAIN

2022· article· en· W4223578282 on OpenAlexaboutno aff
С. О. Остафійчук, P. R. Volosovskyi, Pаvlo Prudnikov, N. I. Henyk

Bibliographic record

VenueArt of Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicEndometriosis Research and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsPelvic painMedicinePain managementChronic painIntensive care medicinePhysical therapySurgery

Abstract

fetched live from OpenAlex

The problem of optimizing the management of women with chronic pelvic pain syndrome (CPP) is actual due to the high frequency of this pathology, unclear many aspects of the pathogenesis, negative impact on quality of life, as well as difficulties in diagnosing the leading factor and effective treatment. Aim. Optimization of the diagnostic algorithm of managing women with chronic pelvic pain (CPP) and pelvic congestion syndrome (PCS). Materials and methods. A prospective study was carried out at Ivano-Frankivsk City Clinical Perinatal Center, Ukraine. 112 patients with CPP and 53 women without pain and symptoms of gynecological pathology as a control group have been included. Exclusion criteria are as follows: pelvic tumors, genital endometriosis, acute inflammatory diseases of the pelvic organs and specific inflammatory diseases of the pelvic organs. Clinical and laboratory examination, ultrasound and Doppler ultrasound of the main pelvic veins: uterine, ovarian, internal iliac and arcuate veins, Valsalva᾽s test have been performed, which helps to detect venous diameter and reflux, for all patients. Short Pain Assessment Scale, the McGill Pain Questionnaire (SF-MPQ), and the Visual Analog Scale (VAS) were used for pain assessment. The tests were conducted in the form of interviews and questionnaires. The results were statistically analyzed using Statistica 7.0 program pack (StatSoft Inc., USA) and Microsoft Excel statistical analysis package. The differences between the selections were considered statistically reliable at p<0.05 (Tukey’s test). Results. Pain duration, examination and treatment of chronic pelvic inflammatory disease were in average 3.8±2.4 years at the time of the first visit. The study has proved that the risk factors for CPP and PCS are high parity (3 or more deliveries), prolonged work in prolong standing or sitting position, interrupted intercourse. 69.6 % of women noted a deterioration in general activity, 43.8 % impaired gait, 79.5 % had difficulties in performing daily work and professional activities, 71.4 % of patients had increased pain in the second phase of the menstrual cycle, and in 83.9 % after prolonged standing. Half of women have sleep disorders, 80.4 % – emotional lability, a third group have periods of depression, and 71.4 % – a negative impact on sexual life according to the results of a Short Pain Assessment Scale. Based on SF-MPQ, it was found that the sensory characteristics of pain were different. 69 (61.6 %) women had convulsive, aching and moderate pain, 16.1 % – severe and burning pain, 8.9% of patients suffered on prickly pain. Evaluation of the emotional scale showed that PCS caused exhaustion in more than half of women, nausea in a third of cases, while 5 (4.5 %) patients reported severe pain that led to despair. Pain intensity due to VAS was 4.44±1.15. Ultrasound revealed an increased diameters of the main pelvic venous collectors, decreased peak systolic bleeding rate in women with CPP and PCS compared with the results of women of the control group (p<0,05). Valsalva᾽s test showed that the presence of reno-ovarian reflux was found in 15.2 % patients of the main group, including bilateral in 23.53 %, isolated left – in 64.7 %. Conclusions. Women with CPP, especially in the presence of risk factors and the specific clinical picture of pelvic congestion should undergo ultrasound and Doppler ultrasound examination of the uterine, ovarian, internal iliac and arcuate veins. Pain assessment scales have the prognostic value of routine pain assessment to analyze the treatment results.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.483
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.021
GPT teacher head0.325
Teacher spread0.303 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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