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Record W2100892516 · doi:10.1001/archpedi.158.1.38

Outcome of Isolated Antenatal Hydronephrosis

2004· article· en· W2100892516 on OpenAlexaff
Adam Cheng, Véronique Phan, Denis F. Geary, Norman D. Rosenblum

Bibliographic record

VenueArchives of Pediatrics and Adolescent Medicine · 2004
Typearticle
Languageen
FieldMedicine
TopicPediatric Urology and Nephrology Studies
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineHydronephrosisVesicoureteral refluxUrinary systemMcNemar's testUrologyMegaureterUltrasoundSurgeryRefluxInternal medicineRadiology

Abstract

fetched live from OpenAlex

OBJECTIVE: To define the clinical outcome in isolated antenatal hydronephrosis (ANH), defined as pelviectasis without vesicoureteral reflux or urinary tract obstruction. STUDY DESIGN AND PATIENTS: We analyzed prospectively gathered data from patients with isolated ANH. Pelviectasis, graded using the anterior-posterior diameter reference criteria, was defined by the status of the more severely affected kidney. Urinary tract obstruction was ruled out by diethylenetriamine pentaacetic acid scan when clinically indicated. Statistical differences were analyzed using the McNemar and chi 2 tests. RESULTS: Isolated ANH was defined in 63 patients. The first postnatal ultrasonogram (mean +/- SD age, 18.4 +/- 17.8 days) revealed resolution of ANH in 16 (25%), mild pelviectasis in 34 (54%), and moderate or severe pelviectasis in 13 (21%). Ultrasonogram at the last follow-up visit (23.3 +/- 14.8 months) in 57 patients demonstrated normal pelvic diameter or mild pelviectasis in 47 (82%) (P =.002). In the 13 patients with moderate or severe neonatal pelviectasis, severity decreased in 11 (85%). Deterioration of any grade of pelviectasis occurred in only 3 (5%) of 57 patients. Renal growth, measured by renal length, was normal in all 57 patients. CONCLUSION: Isolated ANH resolves or improves in most patients during the first 2 years of life.

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)0.000
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 score0.010
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.017
GPT teacher head0.269
Teacher spread0.252 · 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

Citations52
Published2004
Admission routes1
Has abstractyes

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