Evidence map›Paper›PMID 38347343›Full record

ReviewJournal of nephrology2024

Estimated glomerular filtration rate in observational and interventional studies in chronic kidney disease.

Michele Provenzano, Lilio Hu, Chiara Abenavoli, Giuseppe Cianciolo, Giuseppe Coppolino, Luca De Nicola, Gaetano La Manna, Giorgia Comai, Olga Baraldi

Open access · hybridAbstract readReview
In one paragraph

Review 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 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Observational
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

9 authors at 3 institutions in 1 country.

Michele Provenzano *Nephrology, Dialysis and Kidney Transplant Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna Policlinico Sant'Orsola, Bologna, Italy.
Lilio Hu *Nephrology, Dialysis and Kidney Transplant Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna Policlinico Sant'Orsola, Bologna, Italy.
Chiara AbenavoliNephrology, Dialysis and Kidney Transplant Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna Policlinico Sant'Orsola, Bologna, Italy.
Giuseppe CiancioloNephrology, Dialysis and Kidney Transplant Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna Policlinico Sant'Orsola, Bologna, Italy.
Giuseppe CoppolinoRenal Unit, Department of Health Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy.
Luca De NicolaRenal Unit, University of Campania "Luigi Vanvitelli", Naples, Italy.
Gaetano La MannaNephrology, Dialysis and Kidney Transplant Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna Policlinico Sant'Orsola, Bologna, Italy.
Giorgia ComaiNephrology, Dialysis and Kidney Transplant Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna Policlinico Sant'Orsola, Bologna, Italy. giorgia.comai@aosp.bo.it.ORCID 0000-0003-4160-8840
Olga BaraldiNephrology, Dialysis and Kidney Transplant Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna Policlinico Sant'Orsola, Bologna, Italy.
IRCCS Azienda Ospedliero-Universitaria di Bologna Policlinico di Sant'Orsola · ITMagna Graecia University · ITUniversity of Campania "Luigi Vanvitelli" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimated glomerular filtration rate is considered the principal measure of kidney function and, together with albuminuria, is a relevant prognostic factor for the development of end-stage kidney disease. Due to the strong association between estimated glomerular filtration rate and clinical events, such as commencement of dialysis, cardiovascular outcomes and all-cause death, estimated glomerular filtration rate is crucial for clinical decision-making in terms of scheduling follow-up and pharmacological interventions, and planning renal replacement therapies in advanced chronic kidney disease. In this review we discuss the available methods for measuring glomerular filtration rate and for estimating it through mathematical equations developed over the last few decades. We summarize the prognostic association of different percentages of estimated glomerular filtration rate decline and the main clinical outcomes, and how treatments modify estimated glomerular filtration rate decline and the risk of future endpoints. We also examine the role of pre-clinical trial slope and that of estimated glomerular filtration rate as a useful biomarker when evaluating patients for inclusion into both observational and interventional studies.

Indexed as

Glomerular Filtration RateObservational Studies as TopicRenal Insufficiency, ChronicBiomarkersDisease ProgressionHumansKidneyPrognosisRisk FactorsBiomarkersCKDeGFRESKDInterventional studiesObservational studies

Identifiers

PMID38347343
PMCPMC11150208
OpenAlexW4391743539

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.