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Record W2392913265

Effect of recombinant human granulocyte colony-stimulating factor on leukopenia in severe acute respiratory syndrome patients

2004· article· en· W2392913265 on OpenAlexaff
Songmei Yin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicHematological disorders and diagnostics
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsLeukopeniaMedicinePlateletGranulocyteImmunologyGranulocyte colony-stimulating factorInternal medicineGastroenterologyLymphocyteRespiratory systemChemotherapy
DOInot available

Abstract

fetched live from OpenAlex

Objective To evaluate efficacy of rec ombinant human granulocyte colony-stimulating factor (rhG-CSF)on leukopenia in severe acute respiratory syndrome (SARS) patients.Methods 95 pa tients with acute phase SARS were enr olled , leukocytes counts, leukocyte subsets, erythrocytes, and platelets were measured by auto blood cell counter, and rhG-CSF treatment was given to the S AR S patients whose leukocyte number3.0×109/L and/or neutrophil number 2.0×10 9/L.Results 35 patients whose leukocyte number 3.0×109/L an d/or neutrophil number2.0×109/L were treated with rhG-CSF, and their leukocy t e, neutrophil, lymphocyte, and platelet numbers significantly increased after th e treatment. Furthermore, their lung inflammations did not worsen, and the perio d of their hospitalisation was reduced. No one had secondary infection of bac terium, fungus, tuberculosis or double infections both in the hospital and duri ng the follow-up period.Conclusions Treatment with rhG-CSF in SARS patients with leukopenia can obviously increase the leukocyte, leukocyte su bset, and platelet numbers in their peripheral blood, decreasing risk of second ary infection.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.042
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

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

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 head0.019
GPT teacher head0.312
Teacher spread0.293 · 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 teacher head, 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

Citations1
Published2004
Admission routes1
Has abstractyes

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