Risk Factors Associated With de Quervain Tenosynovitis in Postpartum Women
Bibliographic record
Abstract
BACKGROUND: De Quervain (DQ) disease is caused by stenosis of the first dorsal compartment containing the abductor pollicis longus and extensor pollicis brevis. This condition affects women 6 times more than men and is also commonly reported in pregnant and lactating women. The natural course of the disease and associated risk factors are not well understood. In this study, we described the gestational risk factors associated with postpartum DQ. METHODS: Sixty-three postpartum women with DQ were included in final study population. Medical records were reviewed for patient characteristics, including age, comorbidities, and body mass index (BMI), and gestational information, including length of pregnancy, gestation number, single or twin birth, and weight at birth. Odds ratio (OR) for developing DQ tenosynovitis were calculated with the control group of 630 postpartum women without DQ who gave birth between 2012 and 2020 in the same district. RESULTS: Length of pregnancy (>40 weeks, OR = 5.81 [3.29-10.28]), first childbirth (OR = 2.23 [1.32-3.77]), and weight (BMI > 25, OR = 2.08 [1.14-3.81]) were all statistically significant risk factors associated with developing DQ. Number of fetuses > 1 (OR = 0.98 [0.29-3.33]) and birth weight more than 3.5 kg (OR = 0.60 [0.30-1.21]) were not associated with higher risk of DQ. CONCLUSIONS: Gestational risk factors associated with developing postpartum DQ include first pregnancy and long pregnancy of more than 40 weeks. Interestingly, child's birthweight and number of fetuses, both factors that might increase load on the first dorsal compartment while holding the child, were not shown to increase the risk of postpartum DQ.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".