Evidence map›Paper›PMID 35043946›Full record

ArticleJournal of the National Cancer Institute2022

Population-Based Newborn Screening for Germline TP53 Variants: Clinical Benefits, Cost-Effectiveness, and Value of Further Research.

Natalia Kunst, Natasha K Stout, Grace O'Brien, Kurt D Christensen, Pamela M McMahon, Ann Chen Wu, Lisa R Diller, Jennifer M Yeh

Open access · greenAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 35% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. How is Value Defined in Molecular Testing in Cancer? A Scoping Review.Applied health economics and health policy · 2025
    Article
  3. Article
  4. Benefits, harms, and costs of newborn genetic screening for hypertrophic cardiomyopathy: Estimates from the PreEMPT model.Genetics in medicine : official journal of the American College of Medical Genetics · 2023
    Article
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Natalia KunstDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.ORCID 0000-0002-2409-4246
Natasha K StoutDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.ORCID 0000-0002-7946-5649
Grace O'BrienDepartment of Pediatrics, Boston Children's Hospital, Boston, MA, USA.
Kurt D ChristensenDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.ORCID 0000-0003-4068-776X
Pamela M McMahonDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.ORCID 0000-0003-1607-8411
Ann Chen WuDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.ORCID 0000-0003-0599-9063
Lisa R DillerDepartment of Pediatrics, Harvard Medical School, Boston, MA, USA.
Jennifer M YehDepartment of Pediatrics, Boston Children's Hospital, Boston, MA, USA.ORCID 0000-0002-2724-7404
Harvard University · USBoston Children's Hospital · USBroad Institute · US

Funding

Precision Medicine Policy and Treatment (PreEMPT) Model IIR01HD090019 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI Kurt Derek Christensen · 2017 to 2026
$5.7M
NICHD NIH HHS R01 HD090019
6 · The paper itself

Abstract

backgroundIdentification of children and infants with Li-Fraumeni syndrome prompts tumor surveillance and allows potential early cancer detection. We assessed the clinical benefits and cost-effectiveness of population-wide newborn screening for TP53 variants (TP53-NBS).

methodsWe simulated the impact of TP53-NBS using data regarding TP53-associated pediatric cancers and pathogenic or likely pathogenic (P/LP) TP53 variants from Surveillance, Epidemiology, and End Results; ClinVar and gnomAD; and clinical studies. We simulated an annual US birth cohort under usual care and TP53-NBS and estimated clinical benefits, life-years, and costs associated with usual care and TP53-NBS.

resultsUnder usual care, of 4 million newborns, 608 (uncertainty interval [UI] = 581-636) individuals would develop TP53-associated cancers before age 20 years. Under TP53-NBS, 894 individuals would have P/LP TP53 variants detected. These individuals would undergo routine surveillance after detection of P/LP TP53 variants decreasing the number of cancer-related deaths by 7.2% (UI = 4.0%-12.1%) overall via early malignancy detection. Compared with usual care, TP53-NBS had an incremental cost-effectiveness ratio of $106 009 per life-year gained. Probabilistic analysis estimated a 40% probability that TP53-NBS would be cost-effective given a $100 000 per life-year gained willingness-to-pay threshold. Using this threshold, a value of information analysis found that additional research on the prevalence of TP53 variants among rhabdomyosarcoma cases would resolve most of the decision uncertainty, resulting in an expected benefit of 349 life-years gained (or $36.6 million).

conclusionsWe found that TP53-NBS could be cost-effective; however, our findings suggest that further research is needed to reduce the uncertainty in the potential health outcomes and costs associated with TP53-NBS.

Indexed as

Li-Fraumeni SyndromeNeonatal ScreeningChildCost-Benefit AnalysisEarly Detection of CancerGerm CellsHumansInfantInfant, NewbornTumor Suppressor Protein p53Young AdultTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID35043946
PMCPMC9086756
OpenAlexW4205333389

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.