Evidence map›Paper›PMID 29778312›Full record

ArticleBlood cells, molecules & diseases2018

Biomarker signatures of sickle cell disease severity.

Mengtian Du, Sarah Van Ness, Victor Gordeuk, Sayed M Nouraie, Sergei Nekhai, Mark Gladwin, Martin H Steinberg, Paola Sebastiani

Open access · bronzeAbstract read
In one paragraph

Article in Blood cells, molecules & diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 32 citations in OpenAlex.

  1. Observational
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Sleep experiences of parents of children 18 years or younger with sickle cell disease during the COVID-19 pandemic: a qualitative study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    Article
  8. Review
  9. Stratification of βAntioxidants (Basel, Switzerland) · 2023
    Article
  10. Review
  11. Article
  12. Review
  13. Observational
  14. Article
  15. Article
  16. Article
  17. Article
  18. Sickle cell disease in the era of precision medicine: looking to the future.Expert review of precision medicine and drug development · 2019
    Article
  19. Measuring success: utility of biomarkers in sickle cell disease clinical trials and care.Hematology. American Society of Hematology. Education Program · 2018
    Review
  20. 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

8 authors at 4 institutions in 1 country.

Mengtian DuDepartment of Biostatistics, Boston University School of Public Health, 801 Massachusetts Avenue, Boston, MA 02118, United States. Electronic address: mandydu@bu.edu.
Sarah Van NessDepartment of Biostatistics, Boston University School of Public Health, 801 Massachusetts Avenue, Boston, MA 02118, United States.
Victor GordeukDepartment of Medicine, University of Illinois at Chicago, Chicago, United States. Electronic address: vgordeuk@uic.edu.
Sayed M NouraieDivision of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, United States. Electronic address: nouraies@upmc.edu.
Sergei NekhaiDepartment of Medicine, Howard University, Washington, DC, United States. Electronic address: snekhai@Howard.edu.
Mark GladwinDivision of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, United States. Electronic address: gladwinmt@upmc.edu.
Martin H SteinbergDepartment of Medicine, Section of Hematology-Oncology, Boston University School of Medicine, Boston, MA, United States. Electronic address: mhsteinb@bu.edu.
Paola SebastianiDepartment of Biostatistics, Boston University School of Public Health, 801 Massachusetts Avenue, Boston, MA 02118, United States. Electronic address: sebas@bu.edu.
Boston University · USUniversity of Pittsburgh · USHoward University · USUniversity of Illinois Chicago · US

Funding

Antidote for inhaled CO poisoning based on mutationally engineered neuroglobinR01HL125886 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Mark T Gladwin, Jesus Tejero Bravo · 2015 to 2026
$7.9M
Interdisciplinary Training for BiostatisticiansT32GM074905 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WHITE, LAURA FORSBERG · 2005 to 2019
$3.0M
Biomarker Profiles of Sickle Cell DiseaseR21HL128871 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI SEBASTIANI, PAOLA · 2016 to 2017
$247k
NHLBI NIH HHS R01 HL125886NHLBI NIH HHS R21 HL128871NIGMS NIH HHS T32 GM074905
6 · The paper itself

Abstract

Identifying sickle cell disease patients at high risk of complications could lead to personalized treatment and better prognosis but despite many advances prediction of the clinical course of these patients remains elusive. We propose a system-type approach to discover profiles of multiple, common biomarkers that correlate with morbidity and mortality in sickle cell disease. We used cluster analysis to discover 17 signatures of 17 common circulating biomarkers in 2320 participants of the Cooperative Study of Sickle Cell Disease, and evaluated the association of these signatures with risk for stroke, pain, leg ulceration, acute chest syndrome, avascular necrosis, seizure, death, and trend of fetal hemoglobin and hemolysis using longitudinally collected data. The analysis shows that some of the signatures are associated with reduced risk for complications, while others are associated with increased risk for complications. We also show that these signatures repeat in two more contemporary studies of sickle cell disease and correlate with recently discovered biomarkers of pulmonary vascular disease. With replication and further study, these biomarker signatures could become an important and affordable precision medicine tool to aid treatment and management of the disease.

Indexed as

Anemia, Sickle CellBiomarkersCluster AnalysisHumansRisk AssessmentSeverity of Illness IndexVascular DiseasesBiomarkersClusteringDisease severityFetal hemoglobinHemolytic anemiaMolecular signatureSickle cell disease

Identifiers

PMID29778312
PMCPMC6087499
OpenAlexW2804652351

What OpenQuestion holds

Textmetadata
LicenceTDM
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.