Evidence map›Paper›PMID 36695219›Full record

ArticleAnnals of African medicine

Red cell requisition and utilization pattern in a tertiary care hospital of South India.

Parmatma Prasad Tripathi

Open access · hybridAbstract read
In one paragraph

Article in Annals of African medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

1 author at 1 institution in 1 country.

Parmatma Prasad TripathiDepartment of Transfusion Medicine and Hematology, NIMHANS, Bengaluru, Karnataka; Department of Transfusion Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh; Department of Transfusion Medicine and Immunohematology, CMC Vellore, Tamilnadu, India.
Institute for Transfusion Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The equilibrium between supply and demand for red blood cells is increasing unpredictably in many countries. An understanding of trends in blood usage profile and current usage can help predict future trends in demand and to put efforts to reduce use in particular areas. This study helps in analyzing the pattern of red blood cell utilization in a tertiary care hospital. Materials and Methods: This retrospective study was conducted in a blood bank, tertiary care hospital over a period of 6 months. All the requests coming to blood bank with information regarding patient's demographic details, diagnosis and indication for transfusion, type of request, blood transfused or returned were collected and reviewed. Crossmatch transfusion (CT) ratio, transfusion index (TI), and transfusion probability were also calculated. Results: A total of 10,364 patients (20,399 requests) utilized total 32,608 units of blood and its components, out of those 14,195 units of packed red cells units were utilized. March month had maximum number of requests and utilization. Most of the requests for blood were from the inpatients (wards) and were requested and utilized in the age group of 21-30 years with male predominance. Patients in the division of medicine utilized most blood. Although the division of surgery requested most of the blood, on an average, they utilized only one-third of the requested product. Overall, anemia was the most common indication for red cell utilization. In surgical group, spine surgery had a maximum CT ratio. Neurosurgery and hand surgery had the lowest TI in all specialties. Hand surgery and spine surgery had a lowest transfusion probability. Overall, utilization rate in our study was 59.8%. Conclusion: A regular review of blood unit's usage is very important to estimate the blood utilization pattern in any hospital. Profile of blood utilization will act as indicator for quality management of blood bank.

Indexed as

Blood Grouping and CrossmatchingBlood TransfusionAdultErythrocytesFemaleHumansMaleRetrospective StudiesTertiary Care CentersYoung AdultCrossmatch transfusion ratiomaximum surgical blood order schedulepacked red blood celltransfusion indextransfusion probability

Identifiers

PMID36695219
PMCPMC10064900
OpenAlexW4318024960

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.