Evidence map›Paper›PMID 35668420›Full record

Observational studyBMC medicine2022

Observational study of population genomic screening for variants associated with endocrine tumor syndromes in a large, healthcare-based cohort.

Juliann M Savatt, Nicole M Ortiz, Gretchen M Thone, Whitney S McDonald, Melissa A Kelly, Alexander S F Berry, Madiha M Alvi, Miranda L G Hallquist, Jennifer Malinowski, Nicholas C Purdy and 3 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Measuring disease likelihood in genomic ascertainment.American journal of human genetics · 2026
    Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. 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

13 authors at 4 institutions in 1 country.

Juliann M SavattGenomic Medicine Institute, Geisinger, Danville, PA, USA. jmsavatt@geisinger.edu.ORCID 0000-0001-6444-1962
Nicole M OrtizGenomic Medicine Institute, Geisinger, Danville, PA, USA.
Gretchen M ThoneGenomic Medicine Institute, Geisinger, Danville, PA, USA.
Whitney S McDonaldGenomic Medicine Institute, Geisinger, Danville, PA, USA.
Melissa A KellyGenomic Medicine Institute, Geisinger, Danville, PA, USA.
Alexander S F BerryAutism & Developmental Medicine Institute, Geisinger, Lewisburg, PA, USA.
Madiha M AlviEndocrinology, Diabetes, and Metabolism, Geisinger, Danville, PA, USA.
Miranda L G HallquistGenomic Medicine Institute, Geisinger, Danville, PA, USA.
Jennifer MalinowskiGenomic Medicine Institute, Geisinger, Danville, PA, USA.
Nicholas C PurdyGeisinger Commonwealth School of Medicine, Scranton, PA, USA.
Marc S WilliamsGenomic Medicine Institute, Geisinger, Danville, PA, USA.
Amy C SturmGenomic Medicine Institute, Geisinger, Danville, PA, USA.
Adam H BuchananGenomic Medicine Institute, Geisinger, Danville, PA, USA.
Geisinger Commonwealth School of Medicine · USGeisinger Neuroscience Institute · USAutism & Developmental Medicine Institute · USGeisinger Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn current care, patients' personal and self-reported family histories are primarily used to determine whether genetic testing for hereditary endocrine tumor syndromes (ETS) is indicated. Population genomic screening for other conditions has increased ascertainment of individuals with pathogenic/likely pathogenic (P/LP) variants, leading to improved management and earlier diagnoses. It is unknown whether such benefits occur when screening broader populations for P/LP ETS variants. This manuscript assesses clinical utility outcomes of a large, unselected, healthcare-based genomic screening program by describing personal and family history of syndrome-related features, risk management behaviors after result disclosure, and rates of relevant post-disclosure diagnoses in patient-participants with P/LP ETS variants.

methodsObservational study of individuals informed of a P/LP variant in MEN1, RET, SDHAF2, SDHB, SDHC, SDHD, or VHL through Geisinger's MyCode Community Health Initiative between June 2016 and October 2019. Electronic health records (EHRs) of participants were evaluated for a report of pre-disclosure personal and self-reported family histories and post-disclosure risk management and diagnoses.

resultsP/LP variants in genes of interest were identified in 199 of 130,490 (1 in 656) adult Geisinger MyCode patient-participants, 80 of which were disclosed during the study period. Eighty-one percent (n = 65) did not have prior evidence of the result in their EHR and, because they were identified via MyCode, were included in further analyses. Five participants identified via MyCode (8%) had a personal history of syndrome-related features; 16 (25%) had a positive self-reported family history. Time from result disclosure to EHR review was a median of 0.7 years. Post-disclosure, 36 (55.4%) completed a recommended risk management behavior; 11 (17%) were diagnosed with a syndrome-related neoplasm after completing a risk management intervention.

conclusionsBroader screening for pathogenic/likely pathogenic variants associated with endocrine tumor syndromes enables detection of at-risk individuals, leads to the uptake of risk management, and facilitates relevant diagnoses. Further research will be necessary to continue to determine the clinical utility of screening diverse, unselected populations for such variants.

Indexed as

MetagenomicsNeoplasmsAdultDelivery of Health CareGenetic TestingHumansSyndromeGenomic screeningMedullary thyroid cancerMEN 1MEN 2ParagangliomaSuccinate dehydrogenaseVHL

Identifiers

PMID35668420
PMCPMC9172012
OpenAlexW4281854845

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.