Evidence map›Paper›PMID 29222291›Full record

ReviewHematology. American Society of Hematology. Education Program2017

Evolving treatment paradigms in sickle cell disease.

Ramasamy Jagadeeswaran, Angela Rivers

Open access · bronzeAbstract readReview
In one paragraph

Review in Hematology. American Society of Hematology. Education Program, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Development and clinical translation ofComputational and structural biotechnology journal · 2022
    Review
  9. Review
  10. Frontiers in cell and developmental biology · 2020
    Review
  11. Review
  12. Article
  13. New insights into the pathophysiology and development of novel therapies for sickle cell disease.Hematology. American Society of Hematology. Education Program · 2018
    Review
  14. Article
  15. Potential role of LSD1 inhibitors in the treatment of sickle cell disease: a review of preclinical animal model data.American journal of physiology. Regulatory, integrative and comparative physiology · 2018
    Review
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

2 authors at 1 institution in 1 country.

Ramasamy JagadeeswaranDepartment of Pediatrics, University of Illinois at Chicago, Chicago, IL; and.
Angela RiversDepartment of Pediatrics, University of Illinois at Chicago, Chicago, IL; and.
Jesse Brown VA Medical Center · US

Funding

Mitophagy as Potential Target in Sickle Cell DiseaseR03HL135454 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI RIVERS, ANGELA · 2016 to 2017
$160k
NHLBI NIH HHS R03 HL135454
6 · The paper itself

Abstract

Sickle cell disease (SCD) is an inheritable hemoglobinopathy characterized by polymerization of hemoglobin S in red blood cells resulting in chronic hemolytic anemia, vaso-occlusive painful crisis, and multiorgan damage. In SCD, an increased reactive oxygen species (ROS) generation occurs both inside the red blood cells and inside the vascular lumen, which augment hemolysis and cellular adhesion. This review discusses the evolving body of literature on the role of ROS in the pathophysiology of SCD as well as some emerging therapeutic approaches to SCD with a focus on the reduction of ROS.

Indexed as

Anemia, Sickle CellCell AdhesionErythrocytes, AbnormalHemoglobin, SickleHemolysisHumansReactive Oxygen SpeciesHemoglobin, SickleReactive Oxygen Species

Identifiers

PMID29222291
PMCPMC6142561
OpenAlexW2782382390

What OpenQuestion holds

Textmetadata
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.