Evidence map›Paper›PMID 23771351›Full record

ArticleWiener klinische Wochenschrift2013

Awareness of chronic kidney disease in Austria: a frequently under-recognized clinical picture.

Claudia Friedl, Margit Hemetsberger, Julia Mader, Astrid Fahrleitner-Pammer, Thomas R Pieber, Alexander R Rosenkranz

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In one paragraph

Article in Wiener klinische Wochenschrift, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 47% 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, 12 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
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  6. 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

6 authors at 1 institution in 1 country.

Claudia FriedlClinical Division of Nephrology, Department of Internal Medicine, Medical University of Graz, Auenbruggerplatz 27, 8036, Graz, Austria.
Margit Hemetsberger
Julia Mader
Astrid Fahrleitner-Pammer
Thomas R Pieber
Alexander R Rosenkranz
Medical University of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of chronic kidney disease (CKD) is rising at an alarming rate, thus presenting a substantial burden for the patient as an individual and-because of the enormous treatment costs-for society as a whole. Early diagnosis and therapy could slow disease progression and reduce the prevalence of cost-intensive end stage renal disease. The aim of this study was to determine the accuracy of diagnosis of CKD in acute patients presenting at an internal ward.

methodsRoutine laboratory parameters of kidney function of 238 inpatients were retrospectively evaluated to determine the prevalence of CKD, defined as estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m(2). Those results were compared with the actual documentation of the ICD-10 diagnosis CKD in the discharge reports of the respective patients.

resultsOf 238 patients, 228 patients were included in the analysis. The overall median (range) eGFR was 60.7 (10.4-171.9) mL/min/1.73 m(2), with no gender-specific difference. Of patients, 49.6 % (n = 113) were retrospectively diagnosed with CKD stage 3 or higher. However, the review of the discharge reports found correct diagnosis of CKD in only 38.1 % (n = 43) of these patients.

conclusionsThe present analysis shows that CKD remains frequently unrecognized, even in a hospital setting. This could have dramatic implications on the care, treatment and prevention of CKD and associated complications.

Indexed as

AdultAgedAged, 80 and overAge DistributionAustriaDiagnostic ErrorsEarly DiagnosisFemaleHealth Knowledge, Attitudes, PracticeHospitalizationHumansKidney Function TestsMaleMiddle AgedPatient Discharge SummariesPrevalence

Identifiers

PMID23771351
OpenAlexW197949765

What OpenQuestion holds

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Registered trials

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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.