Evidence map›Paper›PMID 39867846›Full record

ReviewBrain, behavior, & immunity - health2025

Lyme disease associated neurological and musculoskeletal symptoms: A systematic review and meta-analysis.

Ganesh Bushi, Ashok Kumar Balaraman, Shilpa Gaidhane, Suhas Ballal, Sanjay Kumar, Mahakshit Bhat, Shilpa Sharma, M Ravi Kumar, Aashna Sinha, Mahalaqua Nazli Khatib and 6 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Brain, behavior, & immunity - health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Ganesh BushiCenter for Global Health Research, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India.
Ashok Kumar BalaramanResearch and Enterprise, University of Cyberjaya, Persiaran Bestari, Cyber 11, 63000, Cyberjaya, Selangor, Malaysia.
Shilpa GaidhaneOne Health Centre, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education, Wardha, India.
Suhas BallalDepartment of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to be University), Bangalore, Karnataka, India.
Sanjay KumarDepartment of Allied Healthcare and Sciences, Vivekananda Global University, Jaipur, Rajasthan, 303012, India.
Mahakshit BhatDepartment of Medicine, National Institute of Medical Sciences, NIMS University Rajasthan, Jaipur, India.
Shilpa SharmaChandigarh Pharmacy College, Chandigarh Group of Colleges-Jhanjeri, Mohali, 140307, Punjab, India.
M Ravi KumarDepartment of Chemistry, Raghu Engineering College, Visakhapatnam, Andhra Pradesh, 531162, India.
Aashna SinhaUttaranchal Institute of Pharmaceutical Sciences, Division of Research and Innovation, Uttaranchal University, India.
Mahalaqua Nazli KhatibDivision of Evidence Synthesis, Global Consortium of Public Health and Research, Datta Meghe Institute of Higher Education, Wardha, India.
Nishant RaiDepartment of Biotechnology, Graphic Era (Deemed to be University) , Clement Town, Dehradun, 248002, India.
Sanjit SahSR Sanjeevani Hospital, Kalyanpur, Siraha, 56517, Nepal.
Ambanna YappalparviSchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara, India.
Shailesh Kumar SamalUnit of Immunology and Chronic Disease, Institute of Environmental Medicine, Karolinska Institutet, 17177, Stockholm, Sweden.
Doddolla LingamaiahNoida Institute of Engineering and Technology (Pharmacy Institute), Greater Noida, India.
Muhammed ShabilUniversity Center for Research and Development, Chandigarh University, Mohali, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: Lyme disease, caused by Methods: We systematically searched PubMed, EMBASE, and Web of Science up until April 01, 2024, to find studies reporting the prevalence and severity of neurological and musculoskeletal complications associated with Lyme disease. Screening and data extraction were conducted using Nested Knowledge software. Two independent reviewers performed the quality assessment using the Newcastle-Ottawa Scale. Meta-analyses were performed using R software v4.3, employing a random-effects model. Results: Out of 3576 records, 17 studies were included, involving 3932 participants. These studies revealed significant prevalence of musculoskeletal symptoms (21.1%) and neurological disabilities (18%) among Lyme disease patients. The analysis showed a notable increase in risk for both complications in individuals with Lyme disease, with pooled Risk Ratios (RR) of 1.82 for musculoskeletal symptoms and 1.64 for neurological disabilities, indicating a significantly higher risk compared to control groups. Although heterogeneity across the studies was high, sensitivity analysis confirmed the consistency of our findings. Additionally, there was evidence of publication bias. Conclusion: The study reveals significant neurological and musculoskeletal complications in Lyme disease patients, emphasizing the importance of early diagnosis, comprehensive treatment, and supportive care. The noted heterogeneity and potential publication bias highlight the need for transparent research and further study on long-term outcomes.

Indexed as

Lyme diseaseMeta-analysisMusculoskeletal symptomsNeurological disabilitiesSystematic reviewTick-borne diseases

Identifiers

PMID39867846
PMCPMC11758960

What OpenQuestion 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 OpenQuestion graph.