Evidence map›Paper›PMID 26592908›Full record

ArticleCardiovascular journal of Africa

Sickle cell trait is not associated with chronic kidney disease in adult Congolese patients: a clinic-based, cross-sectional study.

K Mukendi, F B Lepira, J R Makulo, K E Sumaili, P K Kayembe, M N Nseka

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cardiovascular journal of Africa. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Kidney international reports · 2022
    Article
  5. Article
  6. Article
  7. Review
  8. Progressive glomerular and tubular damage in sickle cell trait and sickle cell anemia mouse models.Translational research : the journal of laboratory and clinical medicine · 2018
    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

6 authors at 2 institutions in 1 country.

K MukendiDivision of Nephrology and Hypertension, Department of Internal Medicine, University of Kinshasa Hospital, Kinshasa, Democratic Republic of Congo.
F B LepiraDivision of Nephrology and Hypertension, Department of Internal Medicine, University of Kinshasa Hospital, Kinshasa, Democratic Republic of Congo. lepslepira@yahoo.fr.
J R Makulo
K E SumailiDivision of Nephrology and Hypertension, Department of Internal Medicine, University of Kinshasa Hospital, Kinshasa, Democratic Republic of Congo.
P K KayembeSchool of Public Health/University of Kinshasa, Kinshasa, Democratic Republic of Congo.
M N NsekaDivision of Nephrology and Hypertension, Department of Internal Medicine, University of Kinshasa Hospital, Kinshasa, Democratic Republic of Congo.
Kinshasa General Hospital · CDUniversity of Kinshasa · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to evaluate the determinants of chronic kidney disease (CKD) with special emphasis on sickle cell trait (SCT).

methodsThree hundred and fifty-nine patients (171 men and 188 women), aged 18 years or older, with reduced kidney function (eGFR < 90 ml/min/1.73 m(2)) and seen at secondary and tertiary healthcare in Kinshasa were consecutively recruited in this cross-sectional study. Serum creatinine and haemoglobin electrophoresis were performed in each patient. CKD was defined as < 60 ml/min/1.73 m(2). Logistic regression analysis was used to assess determinants of CKD with a special emphasis on SCT. A p-value < 0.05 defined the level of statistical significance.

resultsSCT was present in 19% of the study population; its frequency was 21 and 18% (p > 0.05) in patients with and without CKD, respectively. In multivariate analysis, sickle cell trait was not significantly (OR: 0.38; 95% CI: 0.559-1.839; p = 0.235) associated with CKD; the main determinants were dipstick proteinuria (OR: 1.86; 95% CI: 1.094-3.168; p = 0.02), the metabolic syndrome (OR: 1.69; 95% CI: 1.033-2.965; p = 0.03), haemoblobin ≥ 12 g/dl (OR: 0.36; 95% CI: 0.210-0.625; p = 0.001), and personal history of hypertension (OR: 2.16; 95% CI: 1.202-3.892; p = 0.01) and of diabetes mellitus (OR: 2.35; 95% CI: 1.150-4.454; p = 0.001).

conclusionSCT was not an independent determinant of CKD in the present case series. Traditional risk factors emerged as the main determinants of CKD.

Indexed as

AdultAgedAge FactorsBiomarkersChi-Square DistributionComorbidityCreatinineCross-Sectional StudiesDemocratic Republic of the CongoFemaleHemoglobinsHospitals, UniversityHumansLogistic ModelsMaleMiddle AgedBiomarkersCreatinineHemoglobins

Identifiers

PMID26592908
PMCPMC4538907
OpenAlexW2409259344

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.