Evidence map›Paper›PMID 40070652›Full record

ArticleFrontiers in medicine2025

Proposed research classification criteria for Lyme disease in infection associated chronic illness studies.

Brian A Fallon, Mara Kuvaldina, Nevena Zubcevik, Roberta DeBiasi, Sarah B Mulkey, Charles Chiu, Felicia Chow, Kristopher Paolino, Randy Lai, David Putrino and 3 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Characterization ofMicroorganisms · 2026
    Article
  2. Borrelia surface proteins: new horizons in Lyme disease diagnosis.Applied microbiology and biotechnology · 2025
    Review
  3. Article
  4. 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.

Brian A FallonLyme & Tick-Borne Diseases Research Center at Columbia University Irving Medical Center, New York, NY, United States.
Mara KuvaldinaLyme & Tick-Borne Diseases Research Center at Columbia University Irving Medical Center, New York, NY, United States.
Nevena ZubcevikDepartment of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA, United States.
Roberta DeBiasiChildren's National Hospital and Research Institute, Washington, DC, United States.
Sarah B MulkeyChildren's National Hospital and Research Institute, Washington, DC, United States.
Charles ChiuClinical Microbiology Laboratory, School of Medicine, University of California, San Francisco, San Francisco, CA, United States.
Felicia ChowWeill Institute for Neurosciences, School of Medicine, University of California, San Francisco, San Francisco, CA, United States.
Kristopher PaolinoInstitute for Global Health and Translational Sciences, Upstate Medical University, Syracuse, NY, United States.
Randy LaiLyme & Tick-Borne Diseases Research Center at Columbia University Irving Medical Center, New York, NY, United States.
David PutrinoDepartment of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Amy ProalPolyBio Research Foundation, Medford, MA, United States.
Martina PavlicovaMailman School of Public Health, Columbia University Irving Medical Center, New York, NY, United States.
John AucottLyme Disease Research Center, Baltimore, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Research on patients with persistent symptoms despite prior treatment for Lyme disease can be challenging to interpret given the diversity of criteria selected to characterize Lyme disease and to define the syndrome of those with persistent symptoms. Because most research studies only include patients with well-documented prior Lyme disease, the generalizability of the study results is limited, excluding the larger group of patients often seen in community practice who do not meet these stringent enrollment criteria. Researchers at the Lyme and other Tick-borne Diseases Clinical Trials Network (LTD-CTN) recognized early on that a research classification system was needed to facilitate the design of studies that are more inclusive. This paper presents a proposed research classification system. Methods: Criteria used in published clinical research on previously treated Lyme disease were reviewed. Clinical expertise was provided by principal investigators in the LTD-CTN. Further input was obtained from a diverse panel of stakeholders in the field, including clinicians, academic researchers, and patient advocates. This classification system was developed based on feedback collected from all these sources. Results: The new research classification system proposes criteria for Lyme disease at different levels of diagnostic certainty: well-defined, probable, possible, and uncertain. Criteria for ascertainment for each classification level and additional factors to be considered in patient selection for research are described. Conclusion: The proposed research classification system should improve the quality and generalizability of clinical research by providing clear case definitions for enrollment of a more diverse group of patients with sequelae from Lyme disease.

Indexed as

chronic Lyme diseaseclinical trialsclinical trials networkinclusion/exclusion criteriainfection associated chronic illnesspost-treatment Lyme diseaseresearch criteria

Identifiers

PMID40070652
PMCPMC11893417

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.