ArticleReproductive biology and endocrinology : RB&E2026
Multi-dimensional predictive model for diminished ovarian reserve in Hashimoto's thyroiditis: development and application.
Article in Reproductive biology and endocrinology : RB&E, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
purposeThis study aimed to develop a predictive model for diminished ovarian reserve (DOR) in reproductive-aged women with Hashimoto's thyroiditis (HT) by integrating transvaginal three-dimensional ultrasound and clinical multimodal data, to enable early identification and accurate risk assessment of DOR, and provide a visualized decision-support tool for personalized reproductive health management.
methodsA prospective cross-sectional study enrolled 300 eligible reproductive-aged women with HT, who underwent transvaginal three-dimensional ultrasound to measure bilateral ovarian volume, blood flow parameters, and antral follicle count (AFC). Participants were randomized at a 7:3 ratio into training (n = 210) and validation (n = 90) sets. LASSO regression was used to identify independent DOR risk factors for nomogram construction, with performance assessed using ROC curves, calibration curves, and decision curve analysis (DCA).
resultsFour independent risk factors were identified: pelvic inflammation history, ovarian vascularization index (VI), bilateral AFC, and positive thyroid globulin antibody (TGAb). The nomogram exhibited a significantly higher AUC than each individual factor (Delong's test, all p < 0.05), with AUC values of 0.989 (training set) and 0.985 (validation set), corresponding sensitivities of 0.964 and 0.882, and specificities of 0.930 and 0.974. Calibration curves indicated strong concordance between predicted and actual DOR probabilities, and DCA showed greater net benefit across threshold probabilities.
conclusionThe nomogram integrating transvaginal three-dimensional ultrasound parameters and clinical indicators demonstrates excellent predictive accuracy for assessing DOR risk in reproductive-aged women with HT, providing a practical, visualized tool for personalized risk evaluation and reproductive health management.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.