Evidence map›Paper›PMID 24168027›Full record

ArticleBMC nephrology2013

The prevalence of hypertension and abnormal kidney function in children with sickle cell disease -a cross sectional review.

Prasad Bodas, Alex Huang, Mary Ann O'Riordan, John R Sedor, Katherine MacRae Dell

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Article
  6. Sickle cell nephropathy: insights into the pediatric population.Pediatric nephrology (Berlin, Germany) · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Ambulatory hypertension in a pediatric cohort of sickle cell disease.Journal of the American Society of Hypertension : JASH · 2018
    Article
  17. Article
  18. Article
  19. Metabolic risk factors in nondiabetic adolescents with glomerular hyperfiltration.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2017
    Article
  20. Observational
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

5 authors at 3 institutions in 1 country.

Prasad BodasDepartment of Pediatrics, Division of Hematology and Oncology, Akron Children's Hospital, Akron, OH 44302, USA. PBodas@chmca.org.
Alex Huang
Mary Ann O'Riordan
John R Sedor
Katherine MacRae Dell
Case Western Reserve University · USAkron Children's Hospital · USRainbow Babies & Children's Hospital · US

Funding

Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
CWRU NEPHROLOGY TRAINING PROGRAMT32DK007470 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI SEDOR, JOHN R. · 1986 to 2019
$2.9M
NCATS NIH HHS UL1 TR000439NIDDK NIH HHS T32-DK 007470
6 · The paper itself

Abstract

backgroundRenal disease is a known contributor to mortality in adults with sickle cell disease (SCD) and renal abnormalities are evident in childhood. Hyperfiltration (evidenced by elevated glomerular filtration rate, GFR) occurs in children with SCD early in disease. However, the incidence of low GFR (<90 ml/min/1.73 m(2)) suggestive of chronic kidney disease (CKD), is not well established. The prevalence of hypertension is also not well known. The goal of this study was to determine the prevalence of hypertension and CKD in a cohort of children with SCD.

methodsWe performed a retrospective chart review of patients followed at the Rainbow Babies and Children's Sickle Cell Disease Clinic who were seen during routine follow up visits. Inclusion criteria were all patients ages 3-18. Exclusion criteria included recent (within 2 weeks) hospitalization and/or episode of acute chest, pain crises, febrile illness or red blood cell transfusion. Data collected included serum creatinine, blood pressure and history of sickle cell complications (acute chest syndrome, stroke or stroke risk). Estimated GFR (eGFR) was calculated using the updated Schwartz creatinine-based estimating formula. Analysis examined the associations among eGFR, blood pressure and sickle cell complications. The Institutional Review Board at University Hospitals Case Medical Center approved this study.

resultsA total of 48 children had complete data available. Mean eGFR was 140 mL/min/1.73 m(2) +/- 34.9 (range 71.9-404.2 mL/min/1.73 m(2)). Four patients (8.3%) had eGFRs < 90 mL/min/1.73 m(2), 35 patients (72.9%) had eGFRs > 120 mL/min/1.73 m(2) and 9 patients (18.8%) had eGFRs in the normal range. Eight patients (16.7%) had evidence of elevated blood pressures (pre-hypertension or hypertension). There was no correlation between eGFR and age, and no association of eGFR with acute chest or stroke risk.

conclusionIn this SCD cohort, we identified abnormally low eGFR (suggestive of early CKD) in 8.3% of patients and elevated blood pressure in 16.7%. These findings are in contrast to other published studies that show primarily normal or elevated GFR and the absence of or minimal hypertension. These findings indicate that elevated blood pressure and decreased eGFR are not uncommon in children with SCD, and should be more rigorously studied.

Indexed as

AdolescentAge DistributionAnemia, Sickle CellChildChild, PreschoolComorbidityCross-Sectional StudiesFemaleHumansHypertensionMaleOhioPrevalenceRenal Insufficiency, ChronicRetrospective StudiesRisk Factors

Identifiers

PMID24168027
PMCPMC4231610
OpenAlexW2094153802

What OpenQuestion holds

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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.