Evidence map›Paper›PMID 39462509›Full record

ArticleRadiation research2024

A Million Person Study Innovation: Evaluating Cognitive Impairment and other Morbidity Outcomes from Chronic Radiation Exposure Through Linkages with the Centers for Medicaid and Medicare Services Assessment and Claims Data.

Lawrence T Dauer, Michael T Mumma, Julie C Lima, Sarah S Cohen, Daniel Andresen, Amir A Bahadori, Michael Bellamy, David A Bierman, Steve Blattnig, Benjamin French and 13 more

Abstract read
In one paragraph

Article in Radiation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. 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

23 authors.

Lawrence T DauerMemorial Sloan Kettering Cancer Center, New York, New York.
Michael T MummaVanderbilt University Medical Center's International Epidemiology Field Station, Rockville, Maryland.
Julie C LimaBrown University School of Public Health, Providence, Rhode Island.
Sarah S CohenDLH, LLC, Bethesda, Maryland.
Daniel AndresenKansas State University, Manhattan, Kansas.
Amir A BahadoriKansas State University, Manhattan, Kansas.
Michael BellamyMemorial Sloan Kettering Cancer Center, New York, New York.
David A BiermanMemorial Sloan Kettering Cancer Center, New York, New York.
Steve BlattnigNASA Langley Research Center, Hampton, Virginia.
Benjamin FrenchVanderbilt University Medical Center, Nashville, Tennessee.
Eric GiuntaKansas State University, Manhattan, Kansas.
Kathryn HeldNational Council on Radiation Protection and Measurements, Bethesda, Maryland.
Nolan HertelGeorgia Institute of Technology, Atlanta, Georgia.
Laura KeohaneVanderbilt University Medical Center, Nashville, Tennessee.
Richard LeggettOak Ridge National Laboratory, Oak Ridge, Tennessee.
Loren LipworthVanderbilt University Medical Center, Nashville, Tennessee.
Kathleen B MillerNational Institute of Aerospace, Hampton, Virginia.
Ryan B NormanNASA Langley Research Center, Hampton, Virginia.
Caleigh SamuelsOak Ridge National Laboratory, Oak Ridge, Tennessee.
Kali S ThomasJohns Hopkins University School of Nursing, Baltimore, Maryland.
Sergei Y TolmachevWashington State University, Richland, Washington.
Linda WalshUniversity of Zürich, Zürich, Switzerland.
John D BoiceNational Council on Radiation Protection and Measurements, Bethesda, Maryland.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NASA 80NSSC17M0016NASA 80NSSC19M0161NCEH CDC HHS UE2 EH001315NCI NIH HHS P30 CA008748US Department of Energy DE-AU0000042US Department of Energy DE-AU0000046US Naval Sea Systems Command 5NUE1EH001315
6 · The paper itself

Abstract

The study of One Million U.S. Radiation Workers and Veterans, the Million Person Study (MPS), examines the health consequences, both cancer and non-cancer, of exposure to ionizing radiation received gradually over time. Recently the MPS has focused on mortality patterns from neurological and behavioral conditions, e.g., Parkinson's disease, Alzheimer's disease, dementia, and motor neuron disease such as amyotrophic lateral sclerosis. A fuller picture of radiation-related late effects comes from studying both mortality and the occurrence (incidence) of conditions not leading to death. Accordingly, the MPS is identifying neurocognitive diagnoses from fee-for-service insurance claims from the Centers for Medicare and Medicaid Services (CMS), among Medicare beneficiaries beginning in 1999 (the earliest date claims data are available). Linkages to date have identified ∼540,000 workers with available health information. Such linkages provide individual information on important co-factor and confounding variables such as smoking, alcohol consumption, blood pressure, obesity, diabetes and many other health and demographic characteristics. The total person-level set of time-dependent variables, outcomes, organ-specific dose measures, co-factors, and demographics will be massive and much too large to be evaluated with standard software. Thus, development of specialized open-source software designed for large datasets (Colossus) is nearly complete. The wealth of information available from CMS claims data, coupled with individual dose reconstructions, will thus greatly enhance the quality and precision of health evaluations for this new field of low-dose radiation and neurocognitive effects.

Indexed as

Radiation ExposureCenters for Medicare and Medicaid Services, U.S.Cognition DisordersFemaleHumansMaleMedicareUnited States

Identifiers

PMID39462509
PMCPMC12001738

What OpenQuestion holds

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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.