Evidence map›Paper›PMID 38256456›Full record

ArticleJournal of clinical medicine2024

SA-β-Gal in Kidney Tubules as a Predictor of Renal Outcome in Patients with Chronic Kidney Disease.

Pasquale Esposito, Daniela Picciotto, Daniela Verzola, Giacomo Garibotto, Emanuele Luigi Parodi, Antonella Sofia, Francesca Costigliolo, Gabriele Gaggero, Valentina Zanetti, Michela Saio and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 8 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

11 authors at 2 institutions in 1 country.

Pasquale EspositoDepartment of Internal Medicine, University of Genova, 16132 Genova, Italy.ORCID 0000-0002-0834-5586
Daniela PicciottoDivision of Nephrology, Dialysis and Transplantation, IRCCS Ospedale Policlinico San Martino, 16142 Genova, Italy.
Daniela VerzolaDepartment of Internal Medicine, University of Genova, 16132 Genova, Italy.
Giacomo GaribottoDepartment of Internal Medicine, University of Genova, 16132 Genova, Italy.ORCID 0000-0001-6432-2429
Emanuele Luigi ParodiDepartment of Internal Medicine, University of Genova, 16132 Genova, Italy.
Antonella SofiaDivision of Nephrology, Dialysis and Transplantation, IRCCS Ospedale Policlinico San Martino, 16142 Genova, Italy.
Francesca CostiglioloDivision of Nephrology, Dialysis and Transplantation, IRCCS Ospedale Policlinico San Martino, 16142 Genova, Italy.
Gabriele GaggeroUO Anatomia Patologica, IRCCS Ospedale Policlinico San Martino, 16142 Genova, Italy.
Valentina ZanettiDepartment of Internal Medicine, University of Genova, 16132 Genova, Italy.
Michela SaioDivision of Nephrology, Dialysis and Transplantation, IRCCS Ospedale Policlinico San Martino, 16142 Genova, Italy.
Francesca ViazziDepartment of Internal Medicine, University of Genova, 16132 Genova, Italy.ORCID 0000-0003-4219-7043
Ospedale Policlinico San Martino · ITUniversity of Genoa · IT

Funding

Ministero dell'Università e della Ricerca Scientifica FIRB 2001
6 · The paper itself

Abstract

Cellular senescence has emerged as an important driver of aging and age-related disease in the kidney. The activity of β-galactosidase at pH 6 (SA-β-Gal) is a classic maker of senescence in cellular biology; however, the predictive role of kidney tissue SA-β-Gal on eGFR loss in chronic kidney disease (CKD) is still not understood. We retrospectively studied the expression of SA-β-Gal in kidney biopsies obtained in a cohort [

Indexed as

cellchronic kidney diseasekidney tubulessenescence

Identifiers

PMID38256456
PMCPMC10815985
OpenAlexW4390670310

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.