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Record W3094091050 · doi:10.1080/24740527.2020.1838890

Incapacitating pain from Tenofovir Induced Hypophosphatemic Osteomalacia in a Hemophilia Patient – A Case Report

2020· article· en· W3094091050 on OpenAlexaff
Emma K. Woo, Dinesh Kumbhare, Paul Winston

Bibliographic record

VenueCanadian Journal of Pain · 2020
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsUniversity of TorontoUniversity of British Columbia
Fundersnot available
KeywordsMedicineOsteomalaciaEtiologyHypophosphatemiaBone painHuman immunodeficiency virus (HIV)PediatricsTenofovirSurgeryInternal medicineOsteoporosisImmunology

Abstract

fetched live from OpenAlex

Background: Pain in patients with hemophilia is common and usually a result of arthropathy. Clinicians should, however, consider a wide range of etiologies for pain in patients with hemophilia including infection, osteoporotic fractures, arthritis, and osteomalacia.Aims: This case demonstrates an instance of poorly localized back and hip pain, severe enough to prevent ambulation, caused by hypophosphatemic osteomalacia due to tenofovir treatment for blood transfusion acquired Human Immunodeficiency Virus (HIV) in a patient with hemophilia A.Methods: Case Report.Results: With termination of tenofovir treatment, this patient returned to baseline function.Conclusion: This report serves to emphasize the need for accurate diagnosis of pain in hemophilia patients, especially among the aging demographic of people with hemophilia in which there is a significant likelihood of an HIV infection and among patients who may be on Pre-exposure Prophylaxis (PrEP) or clinical trials involving tenofovir.

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)0.003
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 score0.009
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.003
Science and technology studies0.0040.002
Scholarly communication0.0030.004
Open science0.0020.002
Research integrity0.0090.007
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 head0.038
GPT teacher head0.267
Teacher spread0.228 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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Same venueCanadian Journal of PainSame topicHemophilia Treatment and ResearchFrench-language works237,207