GuidelineJAMA network open2023
National Comprehensive Cancer Network Guideline Recommendations of Cancer Drugs With Accelerated Approval.
Guideline in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed, 15 citations in OpenAlex.
- Variation in guideline decision-making: a cross-sectional study of oncology compendium panels.Health affairs scholar · 2026Article
- Longitudinal real-world surveillance of infection outcomes in CAR-T and bispecific therapy recipients: the CLARITY study protocol.BMJ open · 2026Article
- Association of haematological cancer drugs recommendation levels in Chinese Society of Clinical Oncology guideline with different approval approaches: a cross-sectional study.BMJ public health · 2026Article
- Evaluating Food and Drug Administration approved gastrointestinal cancer drugs: clinical benefit and trial endpoints over the past two decades.The oncologist · 2025Article
- Comparison of Food and Drug Administration expedited approvals and guideline updates: A case study of immune checkpoint inhibitors in colon cancer care.Cancer letters · 2025Article
- Improving the Dosing Schedules of Targeted Anticancer Agents.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Article
- Updates in Breast Cancer Screening and Diagnosis.Current treatment options in oncology · 2024Review
- A rare Encounter with Pediatric Malignant Peripheral Nerve Sheath Tumor in Nasal Sinuses and Orbit.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2024Article
- Biosimilars in the Era of Artificial Intelligence-International Regulations and the Use in Oncological Treatments.Pharmaceuticals (Basel, Switzerland) · 2024Review
- Are We Losing the Final Fight against Cancer?Cancers · 2024Article
- Regulatory histories of recently withdrawn ovarian cancer treatment indications of 3 PARP inhibitors in the US and Europe: lessons for the accelerated approval pathway.Journal of pharmaceutical policy and practice · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Many cancer drugs are approved under the US Food and Drug Administration (FDA) accelerated approval pathway based on preliminary evidence. It is unclear how this limited evidence is integrated into the National Comprehensive Cancer Network (NCCN) guidelines, which are common references for clinicians and are used by public and private payers to determine reimbursement for oncology treatments. Objective: To analyze the NCCN guidelines' assessments for cancer drug indications that received FDA accelerated approval compared with cancer drug indications that received FDA regular approval. Design, Setting, and Participants: This cross-sectional study analyzes FDA-approved indications for cancer drugs that were granted accelerated approval from program inception in 1992 to June 30, 2022. For each drug, the FDA-approved labeling was reviewed to identify all indications. All analyses were performed at the drug-indication level. Exposure: The exposure was FDA regulatory status as of October 2022, including regular approval, accelerated approval, accelerated approval converted to regular approval, and withdrawn accelerated approval. Main Outcomes and Measures: The level of evidence and consensus (category 1, 2A, 2B, and 3) and treatment preference (preferred, alternative preferred, other recommended, and useful in certain circumstances) ratings assigned by NCCN committees as of February 2023. Results: A total of 315 oncology indications for 100 drugs were analyzed. These indications included 156 (50%) with regular approval, 60 (38%) with accelerated approval, 78 (49%) with accelerated approval that was converted to regular approval, and 21 (13%) with withdrawn accelerated approvals. Among all indications, 105 (33%) were rated by the NCCN as having category 1 evidence, 185 (59%) with category 2A, 6 (2%) with category 2B, and 2 (1%) with category 3 evidence. Compared with indications with regular approval, those with accelerated approval were less frequently assigned category 1 evidence (47% vs 3%; P < .001) and were less often listed as preferred treatment options (58% vs 40%; P = .008). Among the 21 withdrawn accelerated approval indications, 8 (38%) remained in the NCCN guidelines, with most having level 2A evidence ratings. Conclusions and Relevance: This study found that cancer drug indications with accelerated approval were less likely to be assigned high-level evidence ratings and preferred status in the NCCN guidelines compared with indications with regular approval; most accelerated and regular approval drugs had low-quality evidence ratings but high levels of consensus among oncologists on NCCN committees. Greater clarity on the thresholds and definitions of evidence levels would make the NCCN guidelines more useful to clinicians, patients, and payers.
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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.