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Record W2042948801 · doi:10.1016/j.ijgo.2014.11.004

A comparison of the insertion pain associated with three different types of intrauterine device

2014· article· en· W2042948801 on OpenAlexaff
Ellen Wiebe

Bibliographic record

VenueInternational Journal of Gynecology & Obstetrics · 2014
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineIntrauterine deviceLevonorgestrelParacervical blockLidocaineObstetricsPopulationPelvic painFamily planningSurgeryGynecologyResearch methodology

Abstract

fetched live from OpenAlex

Pain control for intrauterine device (IUD) insertion is important because the fear of that pain may prevent some women from obtaining highly effective long-acting reversible contraception. A review of IUD insertion pain management stated that, “No interventions that have been properly evaluated reduce pain during or after IUD insertion” [1]. Topical lidocaine may help for tenaculum placement, nonsteroidal anti-inflammatory drugs may reduce pain during the two hours after insertion, and misoprostol may make the insertion easier from the providers’ viewpoint. A review of local anesthesia in cervical dilation and uterine intervention found mixed results [2]. The risk factors for increased pain include nulliparity (or no vaginal births) and age younger than 20 years [3]. The purpose of the present study was to compare the pain scores associated with insertion of three types of IUD: the levonorgestrel-releasing intrauterine system (LNG-IUS; Mirena, Bayer, Germany); the copper T IUD (Liberté UT380 and TT380; 7 MED Industrie, France); and the frameless IUD (GyneFix Viz 200; Contrel, Belgium). A retrospective chart review was performed of 788 women who had IUDs inserted in one clinic between February and September 2013. The study included women in a clinical trial of frameless copper IUDs. The women rated the pain of insertion on a scale of 0–10, with 0 being no pain and 10 being the worst possible pain. Data were entered into SPSS version 22 (IBM, Armonk, NY, USA) and the three groups were compared using the χ2 test. P < 0.05 was considered statistically significant. Logistic regression was used to assess significant predictors of severe pain. The study was approved by the University of British Columbia Research Ethics Board. Pain scores were recorded for 199 of 227 LNG-IUS, 154 of 183 copper T, and 317 of 375 frameless IUD insertions, representing 87.7%, 84.1%, and 84.5% of the IUDs inserted during the study period. For pain control, 95.6% (n = 626) of the women took ibuprofen 400–800 mg, 3.3% (n = 22) used 400 μg of vaginal misoprostol three hours prior to insertion, 2.7% (n = 18) took 5–10 mg oxycodone, 7.6% (n = 51) took 1–4 mg lorazepam, and 99.7% (n = 662) had local anesthesia (5–10 mL lidocaine 0.5–1%). There were no significant differences in pains scores between the three different IUDs (Table 1). Using logistic regression, no vaginal birth and dysmenorrhea remained significant predictors of severe pain (score of 8–10), but the three different IUDs and age were not significant. The odds ratio for severe pain (score of 8–10) with no vaginal birth compared with any vaginal birth was 5.2 (95% CI, 2.2 − 15.4) and the odds ratio of having severe pain if there was a history of dysmenorrhea was 3.0 (95% CI, 1.8–5.0). In conclusion, there were no important differences in the pain scores associated with insertion of different IUDs. No previous vaginal births and dysmenorrhea were the best predictors of severe pain. The author has no conflicts of interest.

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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.010
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)0.0000.000

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 head0.029
GPT teacher head0.322
Teacher spread0.294 · 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 designObservational
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".

Quick stats

Citations13
Published2014
Admission routes1
Has abstractyes

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