Evidence map›Paper›PMID 37938543›Full record

ArticleJournal of nephrology2024

CHA

Antonietta Gigante, Giovanni Imbimbo, Martina Andreini, Marco Proietti, Mariangela Palladino, Alessio Molfino, Danilo Alunni Fegatelli, Maurizio Muscaritoli

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of nephrology, 2024. 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
0.9field-weighted citation impact, top 23% 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, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Clinical outcomes in patients with cardiorenal multimorbidity: the role of serum uric acid/serum creatinine ratio.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2025
    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

8 authors at 2 institutions in 1 country.

Antonietta Gigante *Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy. antonietta.gigante@uniroma1.it.ORCID 0000-0002-2015-765X
Giovanni Imbimbo *Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.
Martina AndreiniDepartment of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.
Marco ProiettiDivision of Subacute Care, IRCCS Istituti Clinici Scientifici Maugeri, Milan, Italy.
Mariangela PalladinoDepartment of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.
Alessio MolfinoDepartment of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.
Danilo Alunni FegatelliDepartment of Public Health and Infectious Diseases, Sapienza University, Rome, Italy.
Maurizio MuscaritoliDepartment of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.
Sapienza University of Rome · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh CHA

methodsWe enrolled 983 consecutive patients admitted during 3 years in an internal medicine ward. R

resultsPatients with CKD stages 3-5 presented with increased CHA

conclusionsIncrementally higher CHA

Indexed as

Hospital MortalityLength of StayRenal Insufficiency, ChronicAgedAged, 80 and overAge FactorsDecision Support TechniquesDiabetes MellitusFemaleHeart FailureHospitalizationHumansHypertensionMaleMiddle AgedPredictive Value of TestsCHA2DS2-VASc scoreChronic kidney diseaseInternal medicine, mortality, length of stay

Identifiers

PMID37938543
PMCPMC11043197
OpenAlexW4388498620

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.