Evidence map›Paper›PMID 40457496›Full record

ReviewEuropean journal of medical research2025

Predictors of severe leptospirosis: a review.

Madushani Wickramasinghe, Amalka Chandraratne, Dinul Doluweera, Manjula M Weerasekera, Nilanka Perera

Abstract readReview
In one paragraph

Review in European journal of medical research, 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. Article
  2. 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

5 authors.

Madushani WickramasingheDepartment of Microbiology, Faculty of Medicine, Wayamba University of Sri Lanka, Kuliyapitiya, 60200, Sri Lanka.ORCID http://orcid.org/0000-0001-6378-3135
Amalka ChandraratneDepartment of Medicine, Faculty of Medical Sciences, University of Sri Jayewardenepura, Gangodawila, 10250, Nugegoda, Sri Lanka.
Dinul DoluweeraDepartment of Medicine, Faculty of Medical Sciences, University of Sri Jayewardenepura, Gangodawila, 10250, Nugegoda, Sri Lanka.
Manjula M WeerasekeraDepartment of Microbiology, Faculty of Medical Sciences, University of Sri Jayewardenepura, Gangodawila, 10250, Nugegoda, Sri Lanka.ORCID http://orcid.org/0000-0002-8194-2205
Nilanka PereraDepartment of Medicine, Faculty of Medical Sciences, University of Sri Jayewardenepura, Gangodawila, 10250, Nugegoda, Sri Lanka. nilanka@sjp.ac.lk.ORCID http://orcid.org/0000-0003-0154-1864

Funding

University of Sri Jayewardenepura ASP/01/RE/MED/2022/53
6 · The paper itself

Abstract

objectiveLeptospirosis is a zoonosis of global importance with a wide array of clinical outcomes. The clinical course of leptospirosis varies from an undifferentiated mild febrile illness to multiorgan dysfunction and death. Severe leptospirosis requires input from multiple specialties and management in the intensive care setting. Predicting severe disease manifestations early during the course of illness helps to triage patients to appropriate treatment settings, which greatly improves the outcome.

methodsA narrative literature search was conducted by searching for relevant articles including cohort studies, experimental studies, case-control studies and cross-sectional analyses published on leptospirosis disease severity.

resultsStudies have identified clinical parameters such as dyspnoea, oliguria, hypotension and icterus in isolation or in combination to be useful in predicting severe disease manifestations of leptospirosis. In addition, laboratory (haematological and biochemical) parameters, immunological, vascular endothelium-related markers and selected microRNAs have been identified as potential markers of severe disease in leptospirosis. Even though none of the markers are validated as severity predictors to date, patient characteristics such as age, haematological and biochemical parameters are potential predictors of severe leptospirosis that could be utilised in resource poor settings.

conclusionA wide array of clinical parameters and laboratory markers have been identified in literature as potential predictors of severe leptospirosis. Validation of these markers in appropriate settings would lead to the development of severity prediction models in the future.

Indexed as

LeptospirosisBiomarkersHumansLeptospiraPrognosisSeverity of Illness IndexBiomarkersLeptospirosisLeptospirosis pulmonary haemorrhage syndromePredictorsSevere diseaseZoonosis

Identifiers

PMID40457496
PMCPMC12131637

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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.