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Record W2302391440 · doi:10.1182/blood.v122.21.931.931

Accuracy Of Adverse Event Reporting Compared To Patient Chart Abstraction On a Phase III NCI-Funded Clinical Trial For Pediatric Acute Myeloid Leukemia: A Report From The Children’s Oncology Group

2013· article· en· W2302391440 on OpenAlexaff
Tamara P. Miller, Marko Kavčič, Yimei Li, Todd A. Alonzo, Matt Hall, Yuan‐Shung Huang, Robert B. Gerbing, Brian T. Fisher, Selina M. Luger, David M. Rubin, Andrea B. Troxel, Lillian Sung, Alan S. Gamis, Richard Aplenc

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineClinical trialInternal medicineCommon Terminology Criteria for Adverse EventsAdverse effectOncologyCogDiscontinuationIntensive care medicinePediatrics

Abstract

fetched live from OpenAlex

Abstract Introduction Cooperative group oncology trials have led to dramatic improvements in outcomes for children with cancer, but the current method of reporting adverse events (AEs) is inefficient and potentially ineffective. Like all cooperative oncology groups, AEs on Children's Oncology Group (COG) clinical trials are reported by clinical research associates via case report forms using the National Cancer Institute Common Terminology Criteria system. Despite the extensive resources needed for AE reporting, there is evidence that AEs may not be accurately reported. However, there are no data on the sensitivity, specificity and positive and negative predictive values (PPV, NPV) of AE reporting on pediatric or adult cooperative group oncology trials. This study sought to determine these operating characteristics for AE reporting for COG clinical trial AAML0531, the most recently completed clinical trial for de novo acute myeloid leukemia (AML) in children. Methods Chart abstraction was performed by a single pediatric oncologist on patients enrolled on COG clinical trial AAML0531 at 5 hospitals in the United States. Presence or absence of the following 12 grade III or higher AEs was determined for each hospital day: hypertension, hypotension, hypoxia, adult respiratory distress syndrome (ARDS), anorexia, typhlitis, disseminated intravascular coagulation (DIC), microbiologically proven viridans group streptococcal bacteremia (VGS), microbiologically proven invasive fungal infection (IFI), pain, seizure, and acute renal failure. The definitions for the gold standard of chart abstraction were defined a priori. Using the daily AE assessments based on chart review, the presence or absence of each toxicity was determined for each chemotherapy course. These data were then merged with COG adverse event data that includes grade III or higher toxicities for each patient by chemotherapy course. The percentages of chemotherapy courses with each toxicity were determined for chart abstraction and COG data. Sensitivity, specificity, PPV and NPV for COG AE reporting of the 12 toxicities were determined by comparing to the gold standard of chart abstraction data. Age, gender, race and ethnicity were determined from COG data. Results COG clinical trial AAML0531 enrolled 1028 patients between August 14, 2006 and June 15, 2010. Chart abstraction was performed on 99 of these patients (373 courses). Compared to all patients enrolled on AAML0531, the 99 patients were younger (mean age 8.0 vs. 9.3 years, p = 0.04), and a larger percentage was African American (18.2% vs. 11.5%, p = 0.05). No differences were observed in gender (female: 48.5% vs. 50.4%, p = 0.72) or ethnicity (Hispanic: 18.2% vs. 18.4%, p = 0.96). In the COG AE report, the rates of toxicities ranged from 0.3% of courses (seizure) to 18.8% of courses (anorexia). In the chart abstraction data the rates of toxicities ranged from 0% of courses (seizure) to 37.0% of courses (pain). Table 1 shows the sensitivity, specificity, PPV and NPV for the 12 targeted toxicities. For toxicities with 10 or more identified events, the sensitivity of COG data ranged from 18.2% (DIC) to 70.0% (hypotension). Of significant concern, sensitivity was less than or equal to 50% for eight toxicities, including hypertension (38.5%), hypoxia (25.3%), anorexia (49.6%), VGS (49.2%), and pain (21.7%). The PPV ranged from 50% (IFI and ARDS) to 100% (DIC and renal failure). Conclusions In this cohort of 99 patients treated on COG clinical trial AAML0531, the sensitivity of COG adverse event reporting was relatively low for all but one AE and was less than or equal to 50% for eight of the 12 targeted toxicities. Although PPV was high for most toxicities, it was not 100% for many, indicating that false positive results occur for nearly all of the evaluated AEs. This data demonstrates that the current system of AE reporting on cooperative group oncology trials has modest sensitivity and a demonstrable false positive rate. Work is ongoing to further refine these estimates and to develop improved AE reporting methodologies. Disclosures: No relevant conflicts of interest to declare.

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)0.061
metaresearch head score (Gemma)0.214
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.939
Threshold uncertainty score0.325

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0610.214
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
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 head0.298
GPT teacher head0.548
Teacher spread0.251 · 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.

Study designObservational
DomainReporting
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".

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Citations2
Published2013
Admission routes1
Has abstractyes

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