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Record W2396519696

Clinical correlates of pain with second-trimester genetic amniocentesis.

2009· article· en· W2396519696 on OpenAlexaboutno aff
Watcharin Suntornlimsiri, Kanchana Naunkeaw

Bibliographic record

VenuePubMed · 2009
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAmniocentesisMcGill Pain QuestionnaireObstetricsAbdominal painAnxietyAdvanced maternal ageGestational agePregnancyPhysical therapySurgeryPrenatal diagnosisVisual analogue scaleFetus
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the correlation of clinical factors and maternal perceptions of pain with genetic amniocentesis. MATERIAL AND METHOD: This prospective study of midtrimester, singleton pregnancies was conducted between February 2007 and March 2008. Study variables included patient dermographics, previous amniocentesis, previous abdominal surgery, maternal anxiety score, abdominal wall thickness, needle insertion through placenta and the depth of needle insertion. Maternal pain with performing amniocentesis was subjectively quantified with the Thai short-form McGill Pain Questionnaire. The independent T-test, one way ANOVA and linear regression were used for analysis, a probability value of < 0.05 was considered significant. RESULTS: One hundred and twenty-five pregnant women participated in the present study: 18.4% reported no pain, 69.6% described the pain as mild, 11.2% described the pain as discomforting and 0.8% described the pain as horrible. Mean intensity of pain was 2.1 +/- 1.9 (on a scale 0-10). Pain was most often described as fearful, shooting, throbbing and sharp. Parity, gestational age, maternal BMI, anxiety score, previous surgery, needle insertion through the placenta, abdominal wall thickness and the depth of needle insertion were not correlated with perceived pain. CONCLUSION: Most of the women reported no pain or mild or discomfort with genetic amniocentesis. Clinical factors were not associated with maternal perceptions of pain.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score0.265

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.023
GPT teacher head0.257
Teacher spread0.234 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2009
Admission routes1
Has abstractyes

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