Evidence map›Paper›PMID 22863034›Full record

ArticleBMC geriatrics2012

Limited referral to nephrologists from a tertiary geriatric outpatient clinic despite a high prevalence of chronic kidney disease and anaemia.

Neil Boudville, Kalindu Muthucumarana, Charles Inderjeeth

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

3 authors at 2 institutions in 1 country.

Neil BoudvilleSchool of Medicine and Pharmacology, University of Western Australia, Verdun Street, Nedlands, WA, Australia. neil.boudville@uwa.edu.au
Kalindu Muthucumarana
Charles Inderjeeth
University of Western Australia · AUSir Charles Gairdner Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is increasing in prevalence world-wide with the largest growth being in the elderly. The aim of this study was to examine the prevalence of CKD in a geriatric outpatient clinic within a tertiary hospital and its association with anaemia and mortality with a focus on the referral patterns towards nephrologists.

methodsRetrospective study utilising administrative databases. The cohort was defined as all patients that attended the geriatric outpatient clinics of a single tertiary hospital within the first 3 months of 2006. Patients were followed for 18 months for mortality and referral to a nephrologist.

resultsThe mean Glomerular filtration rate (eGFR) of the 439 patients was 67.4 ± 29.1 mL/min/1.73 m² (44% <60 mL/min/1.73 m²). 11.8% had a haemoglobin < 110 g/L, with anaemia being significantly associated with kidney function in those with a eGFR < 60 mL/min/1.73 m² (p = 0.0092). Kidney function and anaemia were significantly associated with mortality on multivariate analysis (p = 0.019 and p = 0.0074). After 18 months, 8.8% of patients with CKD were referred to a nephrologist.

conclusionDespite a high prevalence of CKD in patients attending a geriatric outpatient clinic and its association with anaemia and mortality, few of these patients were referred to a nephrologist. An examination of the reasons behind this bias is required.

Indexed as

AgedAged, 80 and overAmbulatory Care FacilitiesAnemiaFemaleGlomerular Filtration BarrierHealth Services for the AgedHemoglobinsHumansMaleNephrologyPrevalenceReferral and ConsultationRenal Insufficiency, ChronicRetrospective StudiesTertiary Care CentersHemoglobins

Identifiers

PMID22863034
PMCPMC3441322
OpenAlexW2065107879

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.