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Quantitative Assessment of Drug Treatment Side Effects in Children with Idiopathic Thrombocytopenic Purpura (ITP).

2004· article· en· W2494813373 on OpenAlexaff
George R. Buchanan, Leah Adix, Robert J. Klaassen, Ellis J. Neufeld, Sherri A. Zimmerman, Kimo C. Stine

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsMedicineNauseaVomitingChillsThrombocytopenic purpuraAbdominal painPediatricsInternal medicineSurgeryPlatelet

Abstract

fetched live from OpenAlex

Abstract Most studies of childhood ITP focus on platelet count as the sole outcome measure. Although side effects of drug treatment for ITP are mentioned in some studies, serial quantitative measures of drug toxicity over time have not been measured. We hypothesized that it was possible to develop a valid instrument to quantitate drug side effects in children with ITP for use in future clinical trials and to assist with patient management. Accordingly, we designed a “Childhood ITP Symptom Checklist” for completion by parents of children with ITP daily for 7 days following initiation of therapy. Parents were asked to rate on a 0 to 4 scale (0 = none, 1 = mild, 2 = moderate, 3 = severe, 4 = very severe) the severity of 11 possible side effects (headache, hyperphagia, vomiting, moodiness, fever, insomnia, chills, fatigue, leg/arm pain, abdominal pain, nausea). Seventy-four children (50 male) with ITP (46 newly-diagnosed and 28 established) were enrolled from six centers across North America. Age ranged from 6 mo to 17 yr (median 4 yr). Median platelet count on day 0 (when drug therapy was initiated) was 9,000 per mm3 (range 1 to 75,000 per mm3). Fourteen patients received corticosteroids, 28 intravenous immunoglobulin (IVIG), 20 anti-D immunoglobulin, 2 multiple drugs, and 10 no drug therapy. Parent acceptance of and compliance with the instrument was good. All 11 side effects were noted in patients in each group, but the percentage of patients with side effects and the severity and time course varied greatly. Severe or very severe (S/VS) complications were seen with each drug therapy. IVIG-treated patients had maximal side effects on day 1 including headache (in 54% of patients, S/VS 25%), vomiting (36%, 14% S/VS), fever (50%, 14% S/VS), chills (33%, 7% S/VS), and nausea (41%, 11% S/VS). Side effects diminished on day 2 and were minimal thereafter. Toxicity with anti-D was similar, but the profile differed, being maximal on day 0, continuing throughout the week, but not usually S/VS. Thirty-three percent of children receiving anti-D had headache, 38% fever (worse on day 1), 25% chills, and 22% nausea. The side effects were different with corticosteroids. Hyperphagia occurred throughout the entire 7 days in at least 50% of patients and was sometimes S/VS. Moodiness occurred daily and was S/VS one-third of the time. Moodiness and insomnia as well as fatigue were also commonly reported in other patient groups (including no drug therapy). Mild arm/leg pain and abdominal pain were seen with all treatments but was more persistent with corticosteroids. Mild to moderate headache, fever, and insomnia was noted in 10–30% of patients irrespective of therapy received. We conclude that the nature, timing, and severity of side effects reported by parents of children with ITP can be scored using an instrument such as the one employed here. Further research should determine the specific effect of drug dose and treatment schedule, relationships among different side effects, and the impact of these toxicities on the child’s and family’s quality of life.

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)0.004
metaresearch head score (Gemma)0.012
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 score0.004
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.285
Teacher spread0.275 · 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

Citations3
Published2004
Admission routes1
Has abstractyes

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