ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2020
Variation in Toxicity Reporting Methods for Early Phase Lung Cancer Treatment Trials at Oncology Conferences.
Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The association of PD-L1 expression status and the PD-1/PD-L1 inhibitor-related toxicity profile in non-small cell lung cancer.BMC cancer · 2025Pooled it
- Toxicity outcomes in phase 1 lymphoma trials abstracts are under-reported, with high use of minimizing language.HemaSphere · 2026Article
- Reporting of immune-related adverse events in US Food and Drug Administration approvals of immune checkpoint inhibitors.Frontiers in oncology · 2025Article
- Targeting ALK Rearrangements in NSCLC: Current State of the Art.Frontiers in oncology · 2022Review
- Adverse Event Reporting at Professional Conferences: We Need Better Standards and Bigger Posters.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
introductionPhase I and II trials provide the initial human safety and tolerability data for new drugs. Nevertheless, the methods for presenting toxicity data are not standardized. Clinicians often first encounter these data at professional conferences. We sought to characterize how the burden of adverse events (AEs) is reported at the largest professional conference in clinical oncology.
methodsWe collected toxicity data from all lung cancer-associated phase I and II trial presentations and posters at the American Society for Clinical Oncology annual meetings from 2017 to 2019. We captured the various AE features, including the minimum incidence used for reporting; whether AEs found were treatment emergent or treatment related, grouped by organ system or separated by individual descriptors; whether combined or separated across dose levels when a dose-escalation component was included; and whether dose-limiting toxicities, serious AE, dose-reduction rules, and denominators for laboratory tests were described.
resultsA total of 209 trials were analyzed. There was wide variability in toxicity reporting practices. Six different thresholds for reporting AEs of any grade were used. Treatment-related AEs were reported twice as frequently as treatment-emergent AEs. Toxicities were as likely to be reported across dose levels as by dose level. Terms such as dose-limiting toxicity and serious AE were rarely defined. Dose-reduction rules and denominators for laboratory tests were never defined.
conclusionsStandardization of methods for reporting toxicities could improve the quality and ease of comparability of data on adverse effects in early phase therapeutic trials. A minimal AE data disclosure template is proposed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.