Evidence map›Paper›PMID 36242751›Full record

ReviewEndocrine2023

The role of copeptin in kidney disease.

Pedro Iglesias, Ramona A Silvestre, María José Fernández-Reyes, Juan J Díez

Abstract readReview
PubMed Publisher
In one paragraph

Review in Endocrine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
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

4 authors at 2 institutions in 1 country.

Pedro IglesiasDepartment of Endocrinology and Nutrition, Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain. piglo65@gmail.com.ORCID 0000-0003-0126-1985
Ramona A SilvestreDepartment of Clinical Biochemistry, Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain.
María José Fernández-ReyesDepartment of Nephrology, Hospital General, Segovia, Spain.
Juan J DíezDepartment of Endocrinology and Nutrition, Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain.
Hospital Universitario Puerta de Hierro Majadahonda · ESHospital General De Segovia · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Copeptin is a 39-amino acid glycopeptide that is secreted equimolecularly with arginine-vasopressin (AVP) from the prepro-hormone AVP in the posterior pituitary. While AVP is a very unstable molecule and is accompanied by significant technical troubles in its quantification, copeptin is a stable and easily quantifiable molecule. For this reason, circulating copeptin is currently used as a surrogate for AVP in different pathological conditions, including renal diseases. In recent years it has been shown that copeptin is associated with an increased risk of developing chronic kidney disease in the general population. In addition, copeptin has also been associated with multiple renal diseases with relevant clinical consequences and potential therapeutic implications. In the present review, we update and summarize the clinical significance of copeptin as a surrogate marker for AVP concentrations in different kidney diseases, as well as in renal replacement therapy (hemodialysis and peritoneal dialysis) and renal transplantation.

Indexed as

Kidney DiseasesArginine VasopressinBiomarkersGlycopeptidesHumansKidneyArginine VasopressinBiomarkerscopeptinsGlycopeptidesAntidiuretic hormoneArginine-vasopressinCopeptinDialysisKidney diseaseRenal function

Identifiers

PMID36242751
OpenAlexW4306292608

What OpenQuestion holds

Textmetadata
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.