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Record W3159229561 · doi:10.1002/rth2.12510

A case of congenital prothrombin deficiency with two concurrent mutations in the prothrombin gene

2021· article· en· W3159229561 on OpenAlexaff
Eman M. Mansory, Pratibha Bhai, Alan Stuart, Lori Laudenbach, Bekim Sadiković, Alejandro Lazo‐Langner

Bibliographic record

VenueResearch and Practice in Thrombosis and Haemostasis · 2021
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMissense mutationProthrombin timePartial thromboplastin timeMedicineGeneThromboplastinMutationInternal medicineGeneticsBiologyCoagulation

Abstract

fetched live from OpenAlex

Congenital prothrombin deficiency is an extremely rare, autosomal recessive bleeding disorder with a prevalence of 1 in 2 million individuals. Here, we report a case of congenital prothrombin deficiency with two concurrent mutations in the prothrombin gene (F2), affecting the heavy B chain. The patient presented with a history of multiple bleeding events in his youth that are mostly trauma associated, with a family history of prothrombin deficiency. Laboratory analysis showed a prolonged activated partial thromboplastin time and a prothrombin activity level of 5%. Genetic analysis of the F2 gene identified two heterozygous variants; one is a previously reported pathogenic deletion (c.1814_1815del; p.His605Argfs*13), and the other is a novel missense variant (c.1147C>T; p.Arg383Trp). In silico analysis predicted that p.Arg383Trp is likely to be disease causing, as it affects one of the anion-binding exosites-I of the B chain. This case highlights the significance of molecular findings in confirming the diagnosis of patients with congenital prothrombin deficiency.

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)0.000
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.003
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0060.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.215
GPT teacher head0.459
Teacher spread0.244 · 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 designCase report
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
Published2021
Admission routes1
Has abstractyes

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