Evidence map›Paper›PMID 41343216›Full record

ArticleJAMA network open2025

Describing Inconsistencies in Pediatric Labeling of Medical Devices.

Grzegorz Zapotoczny, Alexis Snitman, Payal Shah, Melissa Bent, Benjamin S Glicksberg, Florence Bourgeois, Yaniv Bar-Cohen, Juan Espinoza

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Grzegorz ZapotocznyStanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois.
Alexis SnitmanUniversity of Southern California, Los Angeles.
Payal ShahChildren's Hospital Los Angeles, Los Angeles, California.
Melissa BentUniversity of Southern California, Los Angeles.
Benjamin S GlicksbergCenter for AI in Children's Health, Icahn School of Medicine at Mount Sinai, New York, New York.
Florence BourgeoisDepartment of Pediatrics, Harvard Medical School, Boston, Massachusetts.
Yaniv Bar-CohenUniversity of Southern California, Los Angeles.
Juan EspinozaStanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois.

Funding

FDA HHS P50 FD007963
6 · The paper itself

Abstract

Importance: The US Food and Drug Administration (FDA) has recommended, but not required, age ranges for pediatric age labeling in devices, despite regulation existing for drugs, and this policy perpetuates off-label use of devices and creates several issues in practice for safety and monitoring. Proper device labeling is an important regulatory component that impacts risk stratification, clinical use, marketing, and reimbursement. Objective: To evaluate the variability in pediatric medical device age labeling among all pediatric class III devices approved by the FDA from 2008 to 2017 and their adherence to nonbinding FDA age range recommendations, and to review the device type, clinical use, and whether the pediatric population was included in clinical trials. Design, Setting, and Participants: This retrospective cross-sectional study reviewed data from public databases to understand pediatric age labeling practices. Data included in the 2008 to 2017 Reports to Congress: Premarket Approval of Pediatric Uses of Devices were reviewed in 2022. Additional data were extracted from the FDA Databases. Two physicians independently reviewed the data and assigned clinical descriptors to each device. Descriptive analysis was performed. Exposure: Device approval by the FDA from 2008 to 2017. Main Outcomes and Measures: The primary outcomes were whether approved devices had age labeling, whether they described the approved pediatric population, and whether pediatric populations were included in clinical studies of the devices. Pairwise comparison was done with Student t test and P < .05 to indicate statistically significant differences. Results: Of 101 unique devices, 26 (25.7%) did not include any specific age ranges and among the remaining 75 devices, 51 (50.5%) were not indicated for patients younger than 18 years. There was significant variation in age labeling, with only 4 devices using fully structured age ranges (eg, 2 to 17 years). Only 8 (7.9%) devices used the FDA recommended pediatric age ranges. The review of clinical trials evaluating device safety and efficacy revealed that 60 (59.4%) included pediatric patients (aged 0 to <22 years); however, only 33 (32.7%) included patients younger than 18 years. In contrast, the Indications For Use statements for the same devices indicate 52 (51.5%) did not include any specific age ranges and 29 (28.7%) were indicated for adults 18 years or older. Conclusions and Relevance: In this cross-sectional analysis of devices included the 2008 to 2017 Reports to Congress, most high-risk devices were not evaluated or specifically indicated for children younger than 18 years. This poses substantial problems for clinical use, reimbursement, research, and policy evaluation. To address this gap, the FDA should establish pediatric labeling requirements that consider age and other relevant factors.

Indexed as

Device ApprovalEquipment and SuppliesPediatricsProduct LabelingAdolescentChildChild, PreschoolCross-Sectional StudiesHumansInfantOff-Label UseRetrospective StudiesUnited StatesUnited States Food and Drug Administration

Identifiers

PMID41343216
PMCPMC12679324

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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.