Evidence map›Paper›PMID 36958992›Full record

ArticleEBioMedicine2023

Systematic comparisons between Lyme disease and post-treatment Lyme disease syndrome in the U.S. with administrative claims data.

Ming Kei Chung, Mariaelena Caboni, Philip Strandwitz, Anthony D'Onofrio, Kim Lewis, Chirag J Patel

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. A Lyme disease mRNA vaccine targetingMolecular therapy. Nucleic acids · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Ming Kei ChungHarvard Medical School, Boston, MA, USA.
Mariaelena CaboniNortheastern University, Boston, MA, USA.
Philip StrandwitzNortheastern University, Boston, MA, USA.
Anthony D'OnofrioNortheastern University, Boston, MA, USA.
Kim LewisNortheastern University, Boston, MA, USA. Electronic address: k.lewis@northeastern.edu.
Chirag J PatelHarvard Medical School, Boston, MA, USA. Electronic address: chirag_patel@hms.harvard.edu.
Northeastern University · USHarvard University · US

Funding

Data science tools to identify robust exposure-phenotype associations for precision medicineR01ES032470 · NIEHS · HARVARD MEDICAL SCHOOL · PI MANRAI, ARJUN KUMAR, PATEL, CHIRAG J. · 2021 to 2025
$3.5M
Big Data Analysis of HIV Risk and Epidemiology in Sub-Saharan AfricaR01AI127250 · NIAID · STANFORD UNIVERSITY · PI BENDAVID, ERAN, PATEL, CHIRAG J. · 2017 to 2020
$2.7M
The confluence of extreme heat cold on the health and longevity of an Aging Population with Alzheimers and related DementiaRF1AG074372 · NIA · HARVARD MEDICAL SCHOOL · PI DOMINICI, FRANCESCA, ESTIRI, HOSSEIN · 2022 to 2023
$2.6M
NIAID NIH HHS R01 AI127250NIEHS NIH HHS R01 ES032470
6 · The paper itself

Abstract

backgroundPost-treatment Lyme disease syndrome (PTLDS) is used to describe Lyme disease patients who have the infection cleared by antibiotic but then experienced persisting symptoms of pain, fatigue, or cognitive impairment. Currently, little is known about the cause or epidemiology of PTLDS.

methodsWe conducted a data-driven study with a large nationwide administrative dataset, which consists of more than 98 billion billing and 1.4 billion prescription records between 2008 and 2016, to identify unique aspects of PTLDS that could have diagnostic and etiologic values. We defined PTLDS based on its symptomatology and compared the demographic, longitudinal changes of comorbidity, and antibiotic prescriptions between patients who have Lyme with absence of prolonged symptoms (APS) and PTLDS.

findingsThe age and temporal distributions were similar between Lyme APS and PTLDS. The PTLDS-to-Lyme APS case ratio was 3.42%. The co-occurrence of 3 out of 19 chronic conditions were significantly higher in PTLDS versus Lyme APS-odds ratio and 95% CI for anemia, hyperlipidemia, and osteoarthrosis were 1.46 (1.11-1.92), 1.39 (1.15-1.68), and 1.62 (1.23-2.12) respectively. We did not find significant differences between PTLDS and Lyme APS for the number of types of antibiotics prescribed (incidence rate ratio = 1.009, p = 0.90) and for the prescription of each of the five antibiotics (FDR adjusted p values 0.72-0.95).

interpretationPTLDS cases have more codes corresponding to anemia, hyperlipidemia, and osteoarthrosis compared to Lyme APS. Our finding of hyperlipidemia is consistent with a dysregulation of fat metabolism reported by other researchers, and further investigation should be conducted to understand the potential biological relationship between the two.

fundingSteven & Alexandra Cohen Foundation, Global Lyme Alliance, and the Pazala Foundation; National Institutes of Health R01ES032470.

Indexed as

Lyme DiseasePost-Lyme Disease SyndromeAnti-Bacterial AgentsChronic DiseaseHumansPainAnti-Bacterial AgentsAdministrative dataChronic Lyme diseaseClaims dataComorbidityEHRPost-treatment Lyme disease syndromePTLDS

Identifiers

PMID36958992
PMCPMC10114153
OpenAlexW4328089203

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.