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Record W2414703962

[Clinical analysis of patients referred for lung transplantation in eastern Japan].

2000· article· en· W2414703962 on OpenAlexaff
Yuji Matsumura, Yoshinori Okada, Kazuyoshi Shimada, Tetsu Sado, Tasuo Tanida, Masami Sato, Motoyasu Sagawa, Hiroshi Kubo, Akira Sakurada, Shigefumi Fujimura, Takashi Kondo

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsInstitute of Aging
Fundersnot available
KeywordsMedicineBronchiolitis obliteransLung transplantationBronchiectasisIdiopathic pulmonary fibrosisTransplantationLungPediatricsSurgeryInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

We investigated the indications for lung transplantation (LTx) in Japan and discussed questions regarding the current Japanese criteria of LTx. This study examined 37 patients referred to our institute for LTx. Among these patients, there were 11 cases of primary pulmonary hypertension (PPH), 6 of lymphoangiomyomatosis (LAM), 4 of Eisenmenger's syndrome, 3 of bronchiolitis obliterans, 2 each of bronchiectasis, idiopathic pulmonary fibrosis (IPF), and pneumoconiosis, and 7 of other diseases. The most frequent age group was 30-39 years (12 cases, 32.4%), and more than half of the patients were female (22 cases, 59.5%). The regions of residence of the patients were Tohoku (19 patients), Kanto (16), and Chubu (2). Patients were referred from all over eastern Japan. On evaluation, LTx was contraindicated in 5 cases, in 4 of which mechanical ventilation had been installed before consultation with us. Six patients died before registration on the Japan Organ Transplant Network (JOT). 6 transplant candidates were registered with JOT, but one (PPH) died after 6 months of waiting, and one (LAM) received a lung transplant from a brain dead cadaver donor. We propose to reform and clarify the Japanese criteria for LTx-both indications and contraindications, to include such indications as a survival probability of less than two years, and such contraindications as mechanical ventilation. Early consultation at LTx centers was hoped for, in accordance with the International Guidelines and a transplant window.

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)0.001
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.063
GPT teacher head0.365
Teacher spread0.301 · 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

Citations2
Published2000
Admission routes1
Has abstractyes

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