Evidence map›Paper›PMID 37890140›Full record

ArticleBlood2023

The challenge of clinical end points in sickle cell disease.

Kenneth I Ataga

Open access · bronzeAbstract read
In one paragraph

Article in Blood, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Kenneth I AtagaCenter for Sickle Cell Disease, University of Tennessee Health Science Center, Memphis, TN.ORCID 0000-0002-4501-9982
University of Tennessee Health Science Center · US

Funding

Predicting Progression of Chronic Kidney Disease in Sickle Cell Anemia Using Machine Learning Models (PREMIER)R01HL159376 · NHLBI · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI ATAGA, KENNETH I, SARAF, SANTOSH · 2021 to 2025
$3.2M
THE ASSOCIATION OF BIOMARKERS OF ENDOTHELIAL FUNCTION WITH PROSPECTIVE CHANGES IN KIDNEY FUNCTION IN SICKLE CELL ANEMIAR01FD006030 · FDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ATAGA, KENNETH I · 2017 to 2021
$2.0M
FDA HHS R01 FD006030NHLBI NIH HHS R01 HL159376
6 · The paper itself

Abstract

As most patients with sickle cell disease (SCD) do not have access to curative therapies, the availability of drug therapies that can modify disease severity remains highly desirable. Despite an increased understanding of the pathophysiology of SCD, only 4 drugs are approved by the US Food and Drugs Administration. Most drug trials in SCD have involved the use of acute pain episodes as the primary clinical end point. These studies have typically been to prevent or shorten the duration of such episodes. To date, no drug has received regulatory approval for shortening the duration of acute vaso-occlusive complications, likely highlighting the complex pathophysiology of acute pain episodes. Trials to prevent acute pain episodes have largely evaluated those episodes requiring health care use as a surrogate end point. However, with differences in culture and health care practices among countries, health care use may not reliably predict clinically important effects on acute pain episodes. This article discusses issues related to the use of health care use as the primary end point for prevention trials of acute pain episodes and highlights the importance of evaluating patient-reported outcomes as well as other SCD-related complications as outcome measures.

Indexed as

Acute PainAnemia, Sickle CellHumansOutcome Assessment, Health Care

Identifiers

PMID37890140
PMCPMC10733825
OpenAlexW4387968898

What Socratic 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 Socratic graph.