Evidence map›Paper›PMID 32961996›Full record

ArticleJournal of clinical medicine2020

Seven Years Leptospirosis Follow-Up in a Critical Care Unit of a French Metropolitan Hospital; Role of Real Time PCR for a Quick and Acute Diagnosis.

Olivier Bahuaud, Adeline Pastuszka, Cécile Le Brun, Stephan Ehrmann, Philippe Lanotte

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. 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
0.2field-weighted citation impact, top 53% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Leptospirosis infections among hospital patients, Sarawak, Malaysia.Tropical diseases, travel medicine and vaccines · 2021
    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 3 institutions in 1 country.

Olivier BahuaudService de Bactériologie-Virologie, CHRU de Tours, 37044 Tours, France.ORCID 0000-0002-1015-6987
Adeline PastuszkaService de Bactériologie-Virologie, CHRU de Tours, 37044 Tours, France.
Cécile Le BrunService de Bactériologie-Virologie, CHRU de Tours, 37044 Tours, France.
Stephan EhrmannService de Médecine Intensive Réanimation, INSERM CIC 1415, CRICS-TriggerSep Research Network, F37044 Tours, France.
Philippe LanotteService de Bactériologie-Virologie, CHRU de Tours, 37044 Tours, France.
Université de Tours · FRInserm · FRInstitut de Virologie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Leptospirosis infection can lead to multiple organ failure, requiring hospitalization in an intensive care unit for supportive care, along with initiation of an adapted antibiotic therapy. Achieving a quick diagnosis is decisive in the management of these patients. (2) Methods: We present here a review of leptospirosis cases diagnosed in the intensive care unit of our hospital over seven years. Clinical and biological data were gathered, and we compared the differences in terms of diagnostic method. (3) Results: Molecular biology method by Polymerase Chain Reaction (PCR) allowed quick and reliable diagnosis when performed in the first days after the symptoms began. Moreover, we identified that sampling blood and urine for PCR was more efficient than performing PCR on only one type of biological sample. (4) Conclusions: Our results confirm the efficiency of PCR for the quick diagnosis of leptospirosis and suggest that testing both blood and urine early in the disease might improve diagnosis.

Indexed as

diagnosisintensive care unitleptospirosispolymerase chain reaction

Identifiers

PMID32961996
PMCPMC7564453
OpenAlexW3087049491

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.