Evidence map›Paper›PMID 39822678›Full record

ArticleAsian journal of transfusion science

Automated red cell exchange in sickle cell disease patients: Retrospective analysis of series of cases in a tertiary care hospital in Eastern India.

Girijanandini Kanungo, Priyanka Nagrath, Priyanka Samal, Santosh Mishra

Erratum issuedAbstract readCase Reports
In one paragraph

Article in Asian journal of transfusion science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Girijanandini KanungoDepartment of Transfusion Medicine, IMS and SUM Hospital, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India.
Priyanka NagrathDepartment of Transfusion Medicine, IMS and SUM Hospital, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India.
Priyanka SamalDepartment of Clinical Hematology, IMS and SUM Hospital, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India.
Santosh MishraDepartment of Transfusion Medicine, IMS and SUM Hospital, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Red cell exchange is important to treat acutely ill sickle cell patients, but it is time-consuming. An automated red cell exchange technique using cell separators developed by different manufacturers helps in removal of sickled hemoglobin and improving blood viscosity. The use of these cell separators permits automated red cell exchange to be performed safely and smoothly with the isovolemic hemodilution. The retrospective analysis of seven cases for automated red cell exchange was performed in IMS and SUM Hospital from September, 2019 to July 2021. One procedure was performed on COBE Spectra Apheresis System and the rest six using Spectra Optia Apheresis System. These procedures were performed on the patients and the decision to perform these procedures was based on clinical indications for red cell exchange following the ASFA guidelines 2019. After only one procedure, all the patients have their sickle hemoglobin reduced to a safe level. End hematocrit was observed to be 33% in three cases, 31.9% in one case, and 30% in the rest three. A total number of red blood cells (RBCs) transfusion in all the cases were 7, 6, 8, 5, 6, 7, and 7 with an average hematocrit of 55%, 56%, 54%, 56%, 55%, 51.7%, and 52.2%, respectively. All the patients partially phenotypically matched, leukoreduced, gamma-irradiated, fresh packed RBCs were provided. Automated red cell exchange came out to be successful in reducing the symptoms along with the improvement in laboratory parameters. New-generation automated apheresis equipment like Spectra Optia, the case series provides better monitoring and also reduces apheresis-related complications.

Indexed as

Apheresisautomated red cell exchangeCOBE spectrasickle cell diseaseSpectra Optia

Identifiers

PMID39822678
PMCPMC11734800

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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.