Evidence map›Paper›PMID 40866929›Full record

ArticleEmerging infectious diseases2025

Differences in Lyme Disease Diagnosis among Medicaid and Medicare Beneficiaries, United States, 2016-2021.

L Hannah Gould, Sarah J Willis, Christopher G Prener, Stephanie A Duench, Holly Yu, Luis Jodar, Jennifer C Moïsi, James H Stark

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Lyme Disease and Health Care Costs.JAMA network open · 2026
    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.

L Hannah Gould
Sarah J Willis
Christopher G Prener
Stephanie A Duench
Holly Yu
Luis Jodar
Jennifer C Moïsi
James H Stark

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lyme disease is the most common vectorborne disease in the United States. Evidence suggests that persons from racial and ethnic minority groups experience more severe disease. We used a claims-based algorithm on data from 16 jurisdictions with high Lyme disease incidence to identify cases among 4 populations: Medicaid beneficiaries <18 and >19 years of age, and Medicare fee-for-service beneficiaries <65 and >65 years of age. We calculated the prevalence of disseminated disease, hospitalization, and other clinical and epidemiologic parameters by race and ethnicity. We found that non-White persons were more likely than White persons to be female, hospitalized at diagnosis, diagnosed outside of primary care, diagnosed outside of the peak months for Lyme disease transmission, and have disseminated disease. Those data illustrate differences in Lyme disease by race and ethnicity and suggest possible differences across other sociodemographic characteristics. Additional prevention methods are needed to reduce differences in Lyme disease recognition and severity.

Indexed as

Lyme DiseaseMedicaidMedicareAdolescentAdultAgedAged, 80 and overFemaleHistory, 21st CenturyHumansIncidenceMaleMiddle AgedPrevalenceUnited StatesYoung AdultbacteriaBorrelia burgdorferiethnicityLyme diseaseMedicaidMedicareraceticksUnited Statesvector-borne infections

Identifiers

PMID40866929
PMCPMC12407116

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.