Evidence map›Paper›PMID 36828528›Full record

ArticleTropical medicine and infectious disease2023

Prognostic Factors for Leptospirosis Infection Severity.

Surangrat Pongpan, Pantitcha Thanatrakolsri, Supa Vittaporn, Patcharin Khamnuan, Punnaphat Daraswang

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.7field-weighted citation impact, top 2% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. A Retrospective Cohort Study of Leptospirosis in Crete, Greece.Tropical medicine and infectious disease · 2025
    Article
  5. Article
  6. Predictors of severe leptospirosis: a review.European journal of medical research · 2025
    Review
  7. Article
  8. Atypical Cases of Leptospirosis: Insights From Georgia.Case reports in infectious diseases · 2024
    Article
  9. 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 at 2 institutions in 1 country.

Surangrat PongpanFaculty of Public Health, Thammasat University, Lampang 52190, Thailand.ORCID 0000-0001-7164-2412
Pantitcha ThanatrakolsriFaculty of Public Health, Thammasat University, Lampang 52190, Thailand.
Supa VittapornFaculty of Public Health, Thammasat University, Lampang 52190, Thailand.ORCID 0000-0003-2477-4409
Patcharin KhamnuanFaculty of Public Health, Thammasat University, Lampang 52190, Thailand.ORCID 0000-0002-7017-3041
Punnaphat DaraswangBuriram Hospital, Muang, Buriram 31000, Thailand.ORCID 0000-0001-8197-3530
Thammasat University · THBuriram Rajabhat University · TH

Funding

The Thailand Science Research and Innovation Fundamental Fund in 2021. TUFF19/ 2564
6 · The paper itself

Abstract

backgroundLeptospirosis is an important health problem in Thailand. People infected with leptospirosis may not have any mild symptoms, whereas some people have acute and severe illnesses. It is crucial to strengthen critical patients' diagnosis and treatment to prevent severe complications and reduce mortality. This study was performed to explore a set of parameters for the prediction of severe leptospirosis illness under routine clinical practice.

methodsA case-control study was conducted in eight general hospitals in Thailand. Retrospective collection data were used, and key information was retrieved from inpatient medical files. Patients were grouped into two severity categories, severe and non-severe infection. Backward elimination was used to reach the final multivariate model.

resultsThe six significant predictors identified in the study were hemoptysis (OR = 25.80, 95% CI 5.69, 116.92), hypotension (blood pressure < 90/60 mmHg) (OR = 17.33, 95% CI 6.89, 43.58), platelet count < 100,000/µL (OR = 8.37, 95% CI 4.65, 15.09), white blood cell count (WBC) > 14,000/µL (OR = 5.12, 95% CI 2.75, 9.51), hematocrit ≤ 30% (OR = 3.49, 95% CI 1.61, 7.57), and jaundice (OR = 3.11, 95% CI 1.71, 5.65). These predictors could correctly predict the severity of leptospirosis infection in 91.31% of the area under the receiver operation curve (AuROC).

conclusionsThe results of this study showed that severe leptospirosis infections have identifiable predictors. The predictors may be used to develop a scoring system for predicting the level of severity.

Indexed as

acute renal failureprognostic factorsrespiratory failuresevere leptospirosis

Identifiers

PMID36828528
PMCPMC9963743
OpenAlexW4320493226

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.