Evidence map›Paper›PMID 29554877›Full record

ArticleBMC nephrology2018

Factors associated with residual urine volume preservation in patients undergoing hemodialysis for end-stage kidney disease in Kinshasa.

Vieux Momeme Mokoli, Ernest Kiswaya Sumaili, François Bompeka Lepira, Fiston Ikwa Ndol Mbutiwi, Jean Robert Rissassy Makulo, Justine Busanga Bukabau, Patrick Parmba Izeidi, Jeannine Losa Luse, Stéphane Kalambay Mukendi, Désiré Kulimba Mashinda and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. 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

11 authors at 2 institutions in 1 country.

Vieux Momeme MokoliDivision of Nephrology, University of Kinshasa, Kinshasa, Democratic Republic of the Congo. vieux.mokoli@gmail.com.
Ernest Kiswaya SumailiDivision of Nephrology, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
François Bompeka LepiraDivision of Nephrology, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Fiston Ikwa Ndol MbutiwiFaculty of medicine, University of Kikwit, Kikwit, Democratic Republic of the Congo.
Jean Robert Rissassy MakuloDivision of Nephrology, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Justine Busanga BukabauDivision of Nephrology, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Patrick Parmba IzeidiDivision of Nephrology, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Jeannine Losa LuseHemodialysis Unit of Provincial General Hospital of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Stéphane Kalambay MukendiHemodialysis Unit of Provincial General Hospital of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Désiré Kulimba MashindaSchool of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Nazaire Mangani NsekaDivision of Nephrology, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
University of Kinshasa · CDKinshasa General Hospital · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDecreased residual urine volume (RUV) is associated with higher mortality in hemodialysis (HD). However, few studies have examined RUV in patients on HD in Sub-Saharan Africa. The aim of this study was to identify predictors of RUV among incident hemodialysis patients in Kinshasa.

methodsThis historical cohort study enrolled 250 patients with ESRD undergoing hemodialysis between January 2007 and July 2013 in two hemodialysis centers in Kinshasa. RUV were collected over 24 h at the initiation of HD and 6 and 12 months later during the interdialytic period. We compared the baseline characteristics of the patients according to their initial RUV (≤ 500 ml/day vs >  500 ml/day) using Student's t, Mann-Whitney U and Chi2 tests. Linear mixed-effects models were used to search for predictors of decreased RUV by adding potentially predictive baseline covariates of the evolution of RUV to the effect of time: age, sex, diabetes mellitus, hypertension, diastolic blood pressure, diuretics, angiotensin conversion enzyme inhibitors (ACEI), angiotensin receptor blockers, hypovolemia, chronic tubulointerstitial nephropathy, left ventricular hypertrophy and initial hemodialysis characteristic. A value of p < 0.05 was considered the threshold of statistical significance.

resultsThe majority of hemodialysis patients were male (68.8%, sex ratio 2.2), with a mean age of 52.5 ± 12.3 years. The population's RUV decreased with time, but with a slight deceleration. The mean RUV values were 680 ± 537 ml/day, 558 ± 442 ml/day and 499 ± 475 ml/day, respectively, at the initiation of HD and at 6 and 12 months later. The use of ACEI at the initiation of HD (beta coefficient 219.5, p < 0.001) and the presence of chronic tubulointerstitial nephropathy (beta coefficient 291.8, p = 0.007) were significantly associated with RUV preservation over time. In contrast, the presence of left ventricular hypertrophy at the initiation of HD was significantly associated with decreased RUV over time (beta coefficient - 133.9, p = 0.029).

conclusionsAmong incident hemodialysis patients, the use of ACEI, the presence of chronic tubulointerstitial nephropathy and reduced left ventricular hypertrophy are associated with greater RUV preservation in the first year of dialysis.

Indexed as

AdultAgedAngiotensin-Converting Enzyme InhibitorsDemocratic Republic of the CongoFemaleHumansKidney Failure, ChronicMaleMiddle AgedRenal DialysisUrinationUrineAngiotensin-Converting Enzyme Inhibitors

Identifiers

PMID29554877
PMCPMC5859481
OpenAlexW2807498426

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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.