ArticleJAMA oncology2021
Performance of the McGill Interactive Pediatric OncoGenetic Guidelines for Identifying Cancer Predisposition Syndromes.
Article in JAMA oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed, 52 citations in OpenAlex.
- Challenges in identifying paediatric cancer predisposition syndromes: international SCOPE survey and SIOPE expert consensus recommendations.European journal of human genetics : EJHG · 2026Article
- Rare solid tumours as indicators of hereditary cancer syndromes.European journal of human genetics : EJHG · 2026Review
- Establishing a Multicenter Personalized Medicine Program in Childhood, Adolescent, and Young Adult Cancer in Spain: The SEHOP-PENCIL Project.JCO precision oncology · 2026Article
- Clinical Impact of Germline Multigene Sequencing in Pediatric Cohorts with a Wide Spectrum of Neoplasms.International journal of molecular sciences · 2026Article
- Advances in the management of pediatric low-grade glioma.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026Review
- Integrated Germline and Somatic Molecular Profiling to Detect Cancer Predisposition Has a High Clinical Impact in Poor-Prognosis Pediatric Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Article
- Germline Cancer Predisposition Results From the National Cancer Institute-Children's Oncology Group Pediatric MATCH Trial.JCO precision oncology · 2025Article
- Rate of germline pathogenic sequence variants in cancer susceptibility genes in an Israeli pediatric and adolescent cancer cohort: a single institute experience.Familial cancer · 2025Article
- Review
- Family-Level Impact of Germline Genetic Testing in Childhood Cancer: A Multi Family Member Interview Analysis.Cancers · 2025Article
- Enhancing Early Detection of Pancreatic Cancer in Genetically Predisposed Individuals: Integrating Advanced Imaging Modalities with Emerging Biomarkers and Liquid Biopsy.Biologics : targets & therapy · 2025Review
- Genetic heterogeneity in childhood leukemia/lymphoma: a Turkish cohort with strong predisposition.Frontiers in genetics · 2025Article
- Update on Recommendations for Surveillance for Children with Predisposition to Hematopoietic Malignancy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024Review
- Genomic Newborn Screening for Pediatric Cancer Predisposition Syndromes: A Holistic Approach.Cancers · 2024Review
- Diagnostic yield and clinical impact of germline sequencing in children with CNS and extracranial solid tumors-a nationwide, prospective Swedish study.The Lancet regional health. Europe · 2024Article
- Germline Variants in Cancer Predisposition Genes in Pediatric Patients with Central Nervous System Tumors.International journal of molecular sciences · 2023Article
- Parents' expectations, preferences, and recall of germline findings in a childhood cancer precision medicine trial.Cancer · 2023Article
- A novel mobile health application to support cancer surveillance needs of patients and families with cancer predisposition syndromes.Pediatric blood & cancer · 2023Article
- Using ChatGPT to Predict Cancer Predisposition Genes: A Promising Tool for Pediatric Oncologists.Cureus · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
61 authors at 20 institutions in 7 countries.
Funding
Abstract
importancePrompt recognition of a child with a cancer predisposition syndrome (CPS) has implications for cancer management, surveillance, genetic counseling, and cascade testing of relatives. Diagnosis of CPS requires practitioner expertise, access to genetic testing, and test result interpretation. This diagnostic process is not accessible in all institutions worldwide, leading to missed CPS diagnoses. Advances in electronic health technology can facilitate CPS risk assessment.
objectiveTo evaluate the diagnostic accuracy of a CPS prediction tool (McGill Interactive Pediatric OncoGenetic Guidelines [MIPOGG]) in identifying children with cancer who have a low or high likelihood of having a CPS. DESIGN, SETTING, AND
participantsIn this international, multicenter diagnostic accuracy study, 1071 pediatric (<19 years of age) oncology patients who had a confirmed CPS (12 oncology referral centers) or who underwent germline DNA sequencing through precision medicine programs (6 centers) from January 1, 2000, to July 31, 2020, were studied. EXPOSURES: Exposures were MIPOGG application in patients with cancer and a confirmed CPS (diagnosed through routine clinical care; n = 413) in phase 1 and MIPOGG application in patients with cancer who underwent germline DNA sequencing (n = 658) in phase 2. Study phases did not overlap. Data analysts were blinded to genetic test results. MAIN OUTCOMES AND MEASURES: The performance of MIPOGG in CPS recognition was compared with that of routine clinical care, including identifying a CPS earlier than practitioners. The tool's test characteristics were calculated using next-generation germline DNA sequencing as the comparator.
resultsIn phase 1, a total of 413 patients with cancer (median age, 3.0 years; range, 0-18 years) and a confirmed CPS were identified. MIPOGG correctly recognized 410 of 412 patients (99.5%) as requiring referral for CPS evaluation at the time of primary cancer diagnosis. Nine patients diagnosed with a CPS by a practitioner after their second malignant tumor were detected by MIPOGG using information available at the time of the first cancer. In phase 2, of 658 children with cancer (median age, 6.6 years; range, 0-18.8 years) who underwent comprehensive germline DNA sequencing, 636 had sufficient information for MIPOGG application. When compared with germline DNA sequencing for CPS detection, the MIPOGG test characteristics for pediatric-onset CPSs were as follows: sensitivity, 90.7%; specificity, 60.5%; positive predictive value, 17.6%; and negative predictive value, 98.6%. Tumor DNA sequencing data confirmed the MIPOGG recommendation for CPS evaluation in 20 of 22 patients with established cancer-CPS associations. CONCLUSIONS AND RELEVANCE: In this diagnostic study, MIPOGG exhibited a favorable accuracy profile for CPS screening and reduced time to CPS recognition. These findings suggest that MIPOGG implementation could standardize and rationalize recommendations for CPS evaluation in children with cancer.
Indexed as
Identifiers
What OpenQuestion holds
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.