Evidence map›Paper›PMID 30379902›Full record

ArticlePloS one2018

The epidemiology of chronic kidney disease and the association with non-communicable and communicable disorders in a population of sub-Saharan Africa.

Nikolai C Hodel, Ali Hamad, Claudia Praehauser, Grace Mwangoka, Irene Mndala Kasella, Klaus Reither, Salim Abdulla, Christoph F R Hatz, Michael Mayr

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. CKD in Migrants: From Epidemiology to Challenges.Kidney international reports · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Pediatric urogenital schistosomiasis diagnosed in France.Pediatric nephrology (Berlin, Germany) · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Article
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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

9 authors at 4 institutions in 2 countries.

Nikolai C HodelMedical Outpatient Department, University Hospital Basel, Basel, Switzerland.ORCID 0000-0003-3591-5238
Ali HamadIfakara Health Institute, Dar es Salaam/Bagamoyo, Tanzania.
Claudia PraehauserMedical Outpatient Department, University Hospital Basel, Basel, Switzerland.
Grace MwangokaIfakara Health Institute, Dar es Salaam/Bagamoyo, Tanzania.
Irene Mndala KasellaBagamoyo District Hospital, Bagamoyo, Tanzania.
Klaus ReitherSwiss Tropical and Public Health Institute, Basel, Switzerland.
Salim AbdullaIfakara Health Institute, Dar es Salaam/Bagamoyo, Tanzania.
Christoph F R HatzSwiss Tropical and Public Health Institute, Basel, Switzerland.
Michael MayrMedical Outpatient Department, University Hospital Basel, Basel, Switzerland.
Ifakara Health Institute · TZSwiss Tropical and Public Health Institute · CHUniversity Hospital of Basel · CHUniversity of Bagamoyo · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In sub-Saharan Africa (SSA), epidemiological data for chronic kidney disease (CKD) are scarce. We conducted a prospective cross-sectional study including 952 patients in an outpatient clinic in Tanzania to explore CKD prevalence estimates and the association with cardiovascular and infectious disorders. According to KDIGO, we measured albumin-to-creatinine ratio and calculated eGFR using CKD-EPI formula. Factors associated with CKD were calculated by logistic regression. Venn diagrams were modelled to visualize interaction between associated factors and CKD. Overall, the estimated CKD prevalence was 13.6% (95% CI 11-16%). Ninety-eight patients (11.2%) (95% CI 9-14%) were categorized as moderate, 12 (1.4%) (95% CI 0-4%) as high, and 9 (1%) (95% CI 0-3%) as very high risk according to KDIGO. History of tuberculosis (OR 3.75, 95% CI 1.66-8.18; p = 0.001) and schistosomiasis (OR 2.49, 95% CI 1.13-5.18; p = 0.02) were associated with CKD. A trend was seen for increasing systolic blood pressure (OR 1.02 per 1 mmHg, 95% CI 1.00-1.03; p = 0.01). Increasing BMI (OR 0.92 per 1kg/m2, 95% CI 0.88-0.96; p = <0.001) and haemoglobin (OR 0.82 per 1g/dL, 95% CI 0.72-0.94; p = 0.004) were associated with risk reduction. Diabetes was associated with albuminuria (OR 2.81, 95% CI 1.26-6.00; p = 0.009). In 85% of all CKD cases at least one of the four most common factors (hypertension, diabetes, anaemia, and history of tuberculosis or schistosomiasis) was associated with CKD. A singular associated factor was found in 61%, two in 14%, and ≥3 in 10% of all CKD cases. We observed a high prevalence estimate for CKD and found that both classical cardiovascular and neglected infectious diseases might be associated with CKD in a semi-rural population of SSA. Our finding provides further evidence for the hypothesis that the "double burden" of non-communicable and endemic infectious diseases might affect kidney health in SSA.

Indexed as

AdolescentAdultAfrica South of the SaharaAgedAged, 80 and overCardiovascular DiseasesCommunicable DiseasesCreatinineDiabetes MellitusFemaleGlomerular Filtration RateHumansHypertensionKidneyMaleMiddle AgedCreatinine

Identifiers

PMID30379902
PMCPMC6209178
OpenAlexW2899433957

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.