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Record W2078718488 · doi:10.1155/2013/684361

Anemia among Pediatric Critical Care Survivors: Prevalence and Resolution

2013· article· en· W2078718488 on OpenAlexafffund
Quang Ngo, Doreen Matsui, Ram N. Singh, Shayna Zelcer, Alik Kornecki

Bibliographic record

VenueCritical Care Research and Practice · 2013
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsChildren’s Health Research InstituteMcMaster UniversityLondon Health Sciences CentreWestern University
FundersChildren's Health Research Institute
KeywordsMedicineAlgorithmAnemiaHemoglobinInternal medicineMathematics

Abstract

fetched live from OpenAlex

To determine the incidence of anemia among pediatric critical care survivors and to determine whether it resolves within 6 months of discharge. Design. A prospective observational study. Patients with anemia upon discharge from the pediatric critical care unit (PCCU) underwent in hospital and post hospital discharge followup (4-6 months) for hemoglobin (Hb) levels. Setting. A medical-surgical PCCU in a tertiary care center. Patients. Patients aged 28 days to 18 years who were treated in the PCCU for over 24 hours. Measurements and Main Results. 94 (24%) out of 392 eligible patients were anemic at time of discharge. Patients with anemia were older, median 8.0 yrs [(IQR 1.0-14.4) versus 3.2 yrs (IQR 0.65-9.9) (P < 0.001)], and had higher PeLOD [median 11 (IQR 10-12) versus 1.5 (1-4) (P < 0.001)], and PRISM [median 5 (IQR 2-11) versus 3 (IQR 0-6) (P < 0.001)] scores. The Hb level normalized in 32% of patients before discharge from hospital. Of the 28 patients who completed followup, all had normalization of their Hb in the absence of medical intervention. Conclusions. Anemia is not common among patients discharged from the PCCU and recovers spontaneously within 4-6 months.

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)0.001
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.077
GPT teacher head0.433
Teacher spread0.355 · 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.

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

Citations7
Published2013
Admission routes2
Has abstractyes

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