Evidence map›Paper›PMID 39687622›Full record

ArticleFrontiers in immunology2024

Intravenous immunoglobulin therapy: usage patterns and response to treatment in Qatar over ten years.

Salma A Taha, Sherin Thalappil, Ramzy M Ali, Haajra Fatima, Asaad Omer A Imameldin, Sami Aqel, Ahmed M Abdelaal, Timo Siepmann, Jessica Barlinn, Maryam A Al-Nesf

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  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

10 authors.

Salma A Taha *Allergy and Immunology Division, Department of Medicine, Hamad Medical Corporation, Doha, Qatar.
Sherin Thalappil *Allergy and Immunology Division, Department of Medicine, Hamad Medical Corporation, Doha, Qatar.
Ramzy M AliAllergy and Immunology Division, Department of Medicine, Hamad Medical Corporation, Doha, Qatar.
Haajra FatimaGeneral Internal Medicine Division, Department of Medical Education, Hamad Medical Corporation, Doha, Qatar.
Asaad Omer A ImameldinAllergy and Immunology Division, Department of Medicine, Hamad Medical Corporation, Doha, Qatar.
Sami AqelAllergy and Immunology Division, Department of Medicine, Hamad Medical Corporation, Doha, Qatar.
Ahmed M AbdelaalDepartment of Pharmacy, Hamad Medical Corporation, Doha, Qatar.
Timo SiepmannDivision of Health Care Sciences, Dresden International University, Dresden, Germany.
Jessica BarlinnDivision of Health Care Sciences, Dresden International University, Dresden, Germany.
Maryam A Al-NesfAllergy and Immunology Division, Department of Medicine, Hamad Medical Corporation, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: IVIg is a blood-derived antibody product initially designed as a replacement therapy in inborn errors of immunity (IEIs). However, over the last 50 years, IVIg has been used to treat a growing range of autoimmune, autoinflammatory, and secondary immunodeficiency disorders. The US FDA has licensed IVIg for use in the treatment of nine clinical indications; although, IVIg global usage extends to off-label indications with variable treatment responses. Data from Qatar on the use of IVIg is scarce; thus, hampering the formulation of local policies. This study aimed to examine the utilization patterns, clinical indications, and safety profile of IVIg usage in Qatar; a nation with a predominantly young population, and to investigate the response rates to short- and long-term IVIg treatment, as well as explore associations between age at first IVIg dose, clinical indication, and treatment response. Methods: A retrospective chart review was conducted of patients who received IVIg between March 2009, and March 2019, in Hamad General Hospital, Qatar. Demographics, immediate adverse effects of IVIg, and treatment response were collected. IVIg clinical indications were categorized into FDA- and/or EMA-approved, those supported by international guidelines; those approved as second-line therapy, and those with low or no supportive evidence. Results: IVIg was used for 63 indications during the 10-years. The age of patients skewed towards a younger demographic (median (IQR) 24 (44-6) years); however, no significant differences in response to short- and long-term treatment between age groups were observed. Of the 841 patients, 62% received IVIg in concordance with international recommendations, while 14% bestowed the treatment for indications with low or no supportive evidence. Immediate IVIg adverse effects were documented in 4% of patients in all of the infusions received, with headaches being the most prevalent (1.8%). Variable treatment responses were observed, with the highest recovery reported in immune thrombocytopenic purpura (35%), followed by transverse myelitis (28%). Conclusion: This study provided crucial insights into IVIg utilization, safety, and treatment outcomes in Qatar's young population. Despite variability in treatment responses and off-label use, adherence to international recommendations remained eminent. Further research is warranted to inform local guidelines and optimize IVIg therapy outcomes.

Indexed as

Immunoglobulins, IntravenousAdolescentAdultChildChild, PreschoolFemaleHumansInfantMaleMiddle AgedQatarRetrospective StudiesTreatment OutcomeYoung AdultImmunoglobulins, IntravenousEuropean Medicines Agency (EMA)human immunoglobulinintravenous immunoglobulin (IVIg)IVIg adverse reactionsIVIg clinical indicationsIVIg therapy outcomeUnited States Food and Drug Administration (FDA)

Identifiers

PMID39687622
PMCPMC11646857

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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.