Evidence map›Paper›PMID 42099316›Full record

ArticleCureus2026

Efficacy of Automated Red Cell Exchange for Sickle Cell Disease: A Cross-Sectional Study.

Piyush Kumar Sharma, Ramu Thakur, Amrita Tripathi, Karuna Thakur, Ashok Yadav, Saifaly Gupta

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Piyush Kumar SharmaImmunohematology and Blood Transfusion, Mahatma Gandhi Memorial Medical College, Indore, IND.
Ramu ThakurImmunohematology and Blood Transfusion, Mahatma Gandhi Memorial Medical College, Indore, IND.
Amrita TripathiImmunohematology and Blood Transfusion, Mahatma Gandhi Memorial Medical College, Indore, IND.
Karuna ThakurMedicine, Mahatma Gandhi Memorial Medical College, Indore, IND.
Ashok YadavImmunohematology and Blood Transfusion, Mahatma Gandhi Memorial Medical College, Indore, IND.
Saifaly GuptaCommunity Medicine, Employees' State Insurance Corporation (ESIC), Indore, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSickle cell disease is a hereditary hemoglobinopathy commonly seen in sub-Saharan Africa, India, and the Middle East. It is caused by a mutation in the β-globin gene and is associated with both acute and chronic multiorgan complications, including severe anemia and stroke.  Materials and methods: This cross-sectional study was carried out over a period of one year (2022-2023) among patients with sickle cell disease. Automated red cell exchange was performed using a continuous-flow cell separator to assess the procedural efficiency.

resultsA total of 30 male and female patients with sickle cell disease from districts surrounding Indore were included. The mean age was 23.4 years, and procedures were performed for various indications as per the American Society for Apheresis (ASFA) guidelines. Most cases, 27 (90%), fell under category II. Thirty automated red cell exchange procedures were performed. Among these, 17 (57%) patients achieved a hemoglobin S (HbS) reduction of 71-80%, eight (27%) >81% reduction, four (13%) 61-70% reduction, and one (3%) <60% reduction.

conclusionAutomated red cell exchange led to significant improvement in multiple hematological parameters, including hemoglobin levels, hematocrit, indirect bilirubin, and HbS percentage, supporting its effectiveness in the management of sickle cell disease.

Indexed as

acute chest syndromeautomated red cell exchangepacked red blood cellssickle cell diseasevaso-occlusive crisis

Identifiers

PMID42099316
PMCPMC13147134

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.