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Record W2042787478 · doi:10.1111/petr.12406

Post‐renal transplant erythrocytosis: A case report

2014· article· en· W2042787478 on OpenAlexaff
Mavel Almonte, L Velásquez-Jones, Saúl Valverde, Bruce Carleton, Mara Medeiros-Domingo

Bibliographic record

VenuePediatric Transplantation · 2014
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsChild and Family Research InstituteBC Children's HospitalUniversity of British Columbia
FundersConsejo Nacional de Ciencia y Tecnología
KeywordsMedicineHematocritEnalaprilHemoglobinTransplantationErythropoietinInternal medicineImmunosuppressionKidney transplantationRenal functionCardiologyUrologySurgeryBlood pressureAngiotensin-converting enzyme

Abstract

fetched live from OpenAlex

PTE is defined as hematocrit >51% or hemoglobin >17 g/dL after renal transplantation. Risk factors include native kidneys with adequate erythropoiesis pretransplant, smoking, renal artery stenosis, and cyclosporine treatment. We report the case of a 14-yr-old female kidney transplant patient, with triple therapy immunosuppression and stable graft function who developed PTE at 12 months post-transplant with hemoglobin 17.3 g/dL, hematocrit 54.2%, stable graft function, and normotensive with normal cardiac echocardiogram and erythropoietin levels. The only risk factor found was tobacco use. As she had no spontaneous improvement, enalapril treatment was started at 19 months post-transplant with a hemoglobin level of 17.5 g/dL and hematocrit 53%; by 23 months post-transplant, hemoglobin lowered to 15 g/dL and hematocrit to 44.5% and continued to be in normal range thereafter. PTE is a rare condition in childhood and can be successfully treated with enalapril.

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)0.002
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.007
GPT teacher head0.231
Teacher spread0.225 · 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

Citations5
Published2014
Admission routes1
Has abstractyes

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