Evidence map›Paper›PMID 36700601›Full record

ReviewRevista da Sociedade Brasileira de Medicina Tropical2023

Kidney Injury Biomarkers in Leptospirosis.

Pablo Uribe-Restrepo, Claudia Munoz-Zanzi, Piedad Agudelo-Flórez

Open access · diamondAbstract readReview
In one paragraph

Review in Revista da Sociedade Brasileira de Medicina Tropical, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Atypical Cases of Leptospirosis: Insights From Georgia.Case reports in infectious diseases · 2024
    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

3 authors at 2 institutions in 2 countries.

Pablo Uribe-RestrepoUniversidad CES, Escuela de Graduados, Medellín, Antioquia, Colombia.ORCID http://orcid.org/0000-0001-8897-5950
Claudia Munoz-ZanziUniversity of Minnesota, School of Public Health, Minneapolis, Minnesota, United States of America.ORCID http://orcid.org/0000-0001-9317-7152
Piedad Agudelo-FlórezUniversidad CES, Escuela de Graduados, Medellín, Antioquia, Colombia.ORCID http://orcid.org/0000-0002-0002-776X
Universidad de Antioquia · COUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leptospirosis is a zoonotic infection with a global distribution, though it has a greater impact on marginalized rural agricultural and urban communities in developing countries. Kidney injury, which can lead to severe and lethal infections, is the most frequent complication associated with leptospirosis. Novel biomarkers are being studied as tools for assessing kidney injury in different pathological processes to improve early detection. This review aimed to gather information on the use of novel kidney biomarkers for human leptospirosis. A search of the literature was carried out in September 2021 using the parameters "((kidney) OR (renal) OR (chronic kidney disease) OR (acute kidney injury)) AND ((biomarker) OR (marker)) AND ((Leptospira) OR (leptospirosis))". The review identified 11 original studies that evaluated the performance of 15 kidney biomarkers related to leptospirosis. Assessment of the evidence for biomarker utility was limited because of the small number of studies and sample sizes. Although some biomarkers were associated with kidney disease, no specific biomarker appeared to be ready for clinical practice, and more research in this field is necessary.

Indexed as

LeptospiraLeptospirosisAnimalsBiomarkersHumansKidneyZoonosesBiomarkers

Identifiers

PMID36700601
PMCPMC9870286
OpenAlexW4318167708

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.