Evidence map›Paper›PMID 35051123›Full record

ArticleTropical medicine and infectious disease2022

A Scoring Tool to Predict Pulmonary Complications in Severe Leptospirosis with Kidney Failure.

Rizza Antoinette Yap So, Romina A Danguilan, Eric Chua, Mel-Hatra I Arakama, Joann Kathleen B Ginete-Garcia, Joselito R Chavez

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Rizza Antoinette Yap SoDepartment of Adult Nephrology, National Kidney and Transplant Institute, Quezon City 1101, Philippines.
Romina A DanguilanDepartment of Adult Nephrology, National Kidney and Transplant Institute, Quezon City 1101, Philippines.
Eric ChuaDepartment of Adult Nephrology, National Kidney and Transplant Institute, Quezon City 1101, Philippines.
Mel-Hatra I ArakamaDepartment of Adult Nephrology, National Kidney and Transplant Institute, Quezon City 1101, Philippines.ORCID 0000-0002-0379-3021
Joann Kathleen B Ginete-GarciaDepartment of Internal Medicine, National Kidney and Transplant Institute, Quezon City 1101, Philippines.
Joselito R ChavezDepartment of Internal Medicine, National Kidney and Transplant Institute, Quezon City 1101, Philippines.
National Kidney and Transplant Institute · PH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid identification of patients likely to develop pulmonary complications in severe leptospirosis is crucial to prompt aggressive management and improve survival. The following article is a cohort study of leptospirosis patients admitted at the National Kidney and Transplant Institute (NKTI). Logistic regression was used to predict pulmonary complications and obtain a scoring tool. The Kaplan-Meir method was used to describe survival rates. Among 380 patients with severe leptospirosis and kidney failure, the overall mortality was 14%, with pulmonary hemorrhage as the most common cause. In total, there were 85 (22.4%) individuals who developed pulmonary complications, the majority (95.3%) were observed within three days of admission. Among the patients with pulmonary complications, 56.5% died. Patients placed on mechanical ventilation had an 82.1% mortality rate. Multivariate analyses showed that dyspnea (OR = 28.76,

Indexed as

mortalitypredictorspulmonary complicationspulmonary hemorrhagesevere leptospirosis

Identifiers

PMID35051123
PMCPMC8778471
OpenAlexW4225614473

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.