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Record W2024404250 · doi:10.1159/000091638

Pulmonary Arterial Hypertension after Childhood Cancer Therapy and Bone Marrow Transplantation

2006· article· en· W2024404250 on OpenAlexaff
Alisa Limsuwan, Samart Pakakasama, Mana Rochanawutanon, Suradej Hongeng

Bibliographic record

VenueCardiology · 2006
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsMedicineNatural historyBone marrow transplantationPulmonary hypertensionComplicationChemotherapyDiseaseIntensive care medicineBone marrowBlood cancerCancerTransplantationOncologyInternal medicineSurgery

Abstract

fetched live from OpenAlex

According to the Third World Symposium on Pulmonary Arterial Hypertension (PAH), chemotherapy is considered to be one of the possible risk factors for patients developing PAH. However, to date, no literature has sufficiently addressed the risk, natural history, and effective treatment of this condition. We report our experience on how early diagnosis, detailed monitoring of disease course, and appropriate treatment application have led to a successful outcome of PAH management in childhood after cancer therapy. Our report reaffirmed the fact that PAH is now a recognized complication of chemotherapy and bone marrow transplantation for leukemia. Combined pulmonary vasodilator treatment has a beneficial effect in improving the patient's condition and functional status as suggested by initial acute pulmonary vasodilator testing.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.250
Teacher spread0.234 · 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".

Quick stats

Citations34
Published2006
Admission routes1
Has abstractyes

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