Evidence map›Paper›PMID 35999301›Full record

ArticleClinical and experimental nephrology2022

Prognostic impact of urine cyclic AMP levels in patients with chronic kidney disease.

Kota Kakeshita, Tsutomu Koike, Teruhiko Imamura, Hayato Fujioka, Hidenori Yamazaki, Koichiro Kinugawa

Abstract read
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In one paragraph

Article in Clinical and experimental nephrology, 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
0.7field-weighted citation impact, top 31% 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, 5 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 2 institutions in 1 country.

Kota KakeshitaThe Second Department of Internal Medicine, University of Toyama, Sugitani, 2630, Toyama, Toyama, 930-0194, Japan.
Tsutomu KoikeThe Second Department of Internal Medicine, University of Toyama, Sugitani, 2630, Toyama, Toyama, 930-0194, Japan.
Teruhiko ImamuraThe Second Department of Internal Medicine, University of Toyama, Sugitani, 2630, Toyama, Toyama, 930-0194, Japan. teimamu@med.u-toyama.ac.jp.ORCID http://orcid.org/0000-0002-7294-7637
Hayato FujiokaThe Second Department of Internal Medicine, University of Toyama, Sugitani, 2630, Toyama, Toyama, 930-0194, Japan.
Hidenori YamazakiThe Second Department of Internal Medicine, University of Toyama, Sugitani, 2630, Toyama, Toyama, 930-0194, Japan.
Koichiro KinugawaThe Second Department of Internal Medicine, University of Toyama, Sugitani, 2630, Toyama, Toyama, 930-0194, Japan.
University of Toyama · JPToyama University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrine cyclic adenosine monophosphate (cAMP) is a biomarker to assess the residual function of the collecting duct in the kidney. Prognostic implication of urine cAMP levels in patients with chronic kidney disease (CKD) remains unknown.

methodsPatients who were followed at our specific outpatient clinic to treat their CKD between December 2015 and December 2019 were included in this prospective study. The impact of urine cAMP levels on the composite of dialysis administration, cardiovascular death, and doubling of serum creatinine concentration was investigated.

resultsA total of 106 patients (median 72 years old, 80 men, and median estimated glomerular filtration rate 28.4 mL/min/1.73 m

conclusionsA lower urine cAMP is an independent predictor of renal deterioration and cardiovascular death in patients with CKD.

Indexed as

Cyclic AMPRenal Insufficiency, ChronicAgedCreatinineDisease ProgressionGlomerular Filtration RateHumansMalePrognosisProspective StudiesRenal DialysisCreatinineCyclic AMPAquaporin 2Arginine vasopressincAMP

Identifiers

PMID35999301
OpenAlexW4293089247

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.