Evidence map›Paper›PMID 38449699›Full record

ArticleNarra J2022

Human albumin solution utilization patterns prior and during COVID-19 pandemic in United Arab Emirates: Time to develop and implement national guidelines on prescription and utilization.

Mohammed Sallam, Johan Snygg

Open access · diamondAbstract read
In one paragraph

Article in Narra J, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

2 authors at 1 institution in 2 countries.

Mohammed SallamDepartment of Pharmacy, Mediclinic Welcare Hospital, Mediclinic Middle East, Dubai, United Arab Emirates.
Johan SnyggMediclinic Welcare Hospital, Mediclinic Middle East, Dubai, United Arab Emirates.
Mediclinic City Hospital · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human albumin solution (HAS) has limited but important indications in clinical practices. However, the inappropriate use of HAS can be costly. Thus, it is imperative to establish a practical protocol to use albumin products and rationalize its usage. The aim of this study was to identify HAS utilization patterns in a multi-specialty private hospital in Dubai, United Arab Emirates (UAE), before and during the COVID-19 pandemic. In addition, the objective was to demonstrate the importance of reconsidering the prescribing strategies for HAS administration. All data on 20% HAS administration in Mediclinic Welcare Hospital (MWEL) were retrieved between January 2019 and May 2021, including the total quantities administered and data on primary diagnosis. A total of 579 patient admissions with various diagnoses were included in this study. Our data suggested that the percentage of clinically indicated 20% HAS administrations decreased from 13.0% in the pre-COVID-19 phase to 1.5% in the COVID-19 phase (p<0.001). An increase in the administration of 20% HAS not backed by agreed clinical evidence followed the increase in new number of COVID-19 cases in the UAE. Our study suggests a large proportion of administered HAS, that drastically increased during COVID-19 with lack of evidence of its benefit. This study can be helpful to refine the institutional guidelines of HAS use, and frequent audits and interactive educational interventions are recommended to tackle this issue. In turn, the refinement of HAS administration guidelines could help to reduce the unjustified cost of inappropriate HAS use.

Indexed as

clinical pharmacydrug utilizationguidelinehealthcareHuman albumin

Identifiers

PMID38449699
PMCPMC10914072
OpenAlexW4288434745

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.