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Record W3216139888 · doi:10.51985/jbumdc2018003

Circumcision in patients with bleeding disorders: Can it be done safely?

2018· article· en· W3216139888 on OpenAlexaboutno aff
Huma Faiz Halepota, Ahmad Vaqas Faruque, Muhammad Sohail Arshad

Bibliographic record

VenueJournal of Bahria University Medical and Dental College · 2018
Typearticle
Languageen
FieldMedicine
TopicGenital Health and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineThrombastheniaGlanzmann's thrombastheniaSurgeryPediatricsPlateletInternal medicinePlatelet aggregation

Abstract

fetched live from OpenAlex

Purpose: The purpose of our study was to review outcome of circumcision among children with bleeding disorders at our institution and also to determine the impact of optimization leading to safe circumcision. Methods: Data representing boys (age 0-16 years) who underwent routine circumcision at the Aga Khan University Hospital (AKUH) between1988-2014 was retrospectively reviewed. Children with bleeding disorder were identified using International Classification of Diseases (ICD) Code 64.0. Data was retrieved and confidentially was maintained. SPSS version 19 was used for statistical analysis. Results: During 26 years 13,200 circumcisions were performed at AKUH. Amongst these 8,463 (64.11%) were done by using Plastibell, while 4,737 (35.88%) by open slit method. Only 23 (0.17%) children were identified with bleeding disorder. Two groups were made, Group-A (n:15) children with known bleeding disorders having circumcision and GroupB, (n:8) those in whom bleeding disorder was diagnosed after circumcision. Median age of children in Group-A was 9 years. All children in Group-A underwent open circumcision. 10 patients had Factor VIII deficiency, 2 had Glanzmann’s thrombasthenia, 1 had Factor IX deficiency, 1 had Quebec platelet disorder, and 1 had Von Willebrand disorder. Median age of children in Group-B was 3 months. 7 out of 8 underwent plastibell while one had circumcision by open technique. 7 were diagnosed as Factor VIII deficiency and 1 diagnosed later to have Glanzmann's thrombasthenia. Statistical analysis showed significant difference among these two groups’ p-value with respect to age (p-value 0.00) and family history (p-value 0.04- Fisher’s exact test). Both groups had similar postoperative length of stay. Overall bleeding complication rate after optimization was 13.33%. Conclusion: With the help of hematologist and adequate Factor replacement, these children can be managed as daycare. We suggest risks and benefit should be discussed with parents before procedure

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.228
Teacher spread0.221 · 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 source (direct Gemma or distilled Codex), 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".

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Citations1
Published2018
Admission routes1
Has abstractyes

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