Evidence map›Paper›PMID 30669969›Full record

ArticleBMC emergency medicine2019

Profile and outcome of patients with emergency complications of renal failure presenting to an urban emergency department of a tertiary hospital in Tanzania.

Erasto Sylvanus, Hendry R Sawe, Biita Muhanuzi, Elly Mulesi, Juma A Mfinanga, Ellen J Weber, Said Kilindimo

Abstract read
In one paragraph

Article in BMC emergency medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Observational
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  4. Clinical profile and outcome of patients with acute kidney injury in the Emergency Department of a teaching hospital in Ethiopia.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2025
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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

7 authors.

Erasto SylvanusEmergency Medicine Department, Muhimbili University of Health and Allied Science, P.O Box 65001, Dar es Salaam, Tanzania.
Hendry R SaweEmergency Medicine Department, Muhimbili University of Health and Allied Science, P.O Box 65001, Dar es Salaam, Tanzania. hendry_sawe@yahoo.com.ORCID 0000-0002-0395-5385
Biita MuhanuziEmergency Medicine Department, Muhimbili University of Health and Allied Science, P.O Box 65001, Dar es Salaam, Tanzania.
Elly MulesiEmergency Medicine Department, Muhimbili University of Health and Allied Science, P.O Box 65001, Dar es Salaam, Tanzania.
Juma A MfinangaEmergency Medicine Department, Muhimbili University of Health and Allied Science, P.O Box 65001, Dar es Salaam, Tanzania.
Ellen J WeberEmergency Medicine Department, Muhimbili National Hospital, Dar es Salaam, Tanzania.
Said KilindimoEmergency Medicine Department, Muhimbili University of Health and Allied Science, P.O Box 65001, Dar es Salaam, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRenal failure carries high mortality even in high-resource countries. Little attention has been paid to renal failure patients presenting acutely in emergency care settings in low-to-middle income countries (LMIC). Our aim was to describe the profile, management strategies and outcome of renal failure patients presenting with indications for emergent dialysis to an urban Emergency Department (ED) in a tertiary public hospital in Tanzania.

methodsThis was a prospective cohort study of consecutive patients (age ≥ 15 yrs) presenting to the Emergency Medicine Department of Muhimbili National Hospital from September 2017 to February 2018. All patients with renal failure and complications requiring acute dialysis were included. A structured data collection sheet was used to gather demographics, clinical presentation, management strategies and outcomes. Data were summarized with descriptive statistics. Logistic regressions were performed to determine factors associated with receiving dialysis and with mortality.

resultsWe enrolled 146 patients, median age was 49 years (IQR 32-66 years), and 110 (75.3%) were male. Shortness of breath 67 (45.9%) and reduced urine output 58 (39.7%) were the most common presenting complaints. The most common complications were hyperkalemia 77 (53%), uremic encephalopathy 66 (45%) and pulmonary edema 54 (37%). All patients were hospitalized, and 61 (42%) received dialysis. Overall mortality was 39% (57 patients); the mortality in non-dialysed patients was 53% vs. 20% (p < 0.0005) in those receiving dialysis. 54% of patients with health insurance were dialyzed, compared to 39% who paid out of pocket (adjusted OR = 0.3, 95%CI: 0.1-0.9). Patients (≥55 years) were less likely to be dialysed (adjusted OR = 0.2 [0.1-0.9]). Independent predictors of mortality were vomiting (OR = 6.2, 95%CI: 1.8-22.2), oliguria (OR = 3.4, 95%CI: 1.2-9.5), pulmonary edema (OR = 4.6, 95%CI: 1.6-14.3), creatinine level > 1200umol/L (OR = 5.0 95%CI: 1.4-18.2), and not receiving dialysis (OR = 8.0, CI: 2.7-23.5). Female sex had a lower risk of dying (OR = 0.13, CI: 0.03-0.5).

conclusionsIn this ED in LIC, acute complications of renal failure created a need for ED stabilization and emergent dialysis. Overall in-hospital mortality was high; significantly higher in undialysed patients. Future studies in LICs should focus on identification of categories of patients that will do well with conservative therapy.

Indexed as

Developing CountriesHospital MortalityHospitals, UrbanRenal DialysisAdultAgedAge FactorsBrain DiseasesCreatinineDyspneaEmergency Service, HospitalFemaleHumansHyperkalemiaInsurance CoverageInsurance, HealthCreatinineDialysisEmergency complicationsEmergency departmentRenal failure

Identifiers

PMID30669969
PMCPMC6341653

What OpenQuestion holds

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LicenceCC BY
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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.