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Record W4310096221 · doi:10.1182/blood-2022-171028

Incidence of Inhibitors in Previously Untreated Patients with Severe Hemophilia a Treated with Plasma-Derived Vs. Recombinant Factor VIII Concentrates: A Systematic Review and Meta-Analyses

2022· review· en· W4310096221 on OpenAlexaboutno aff
A. Prezotti, Paula Ribeiro Villaça, Debora M C Rocha, Maria P S V Orletti, Christiane Boaventura Lourenço, Gabriela G Yamaguti-Hayakawa, Margareth C. Ozelo

Bibliographic record

VenueBlood · 2022
Typereview
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCochrane LibraryIncidence (geometry)Meta-analysisMEDLINEObservational studyInternal medicineCohortPediatrics

Abstract

fetched live from OpenAlex

Introduction: The most important treatment complication of hemophilia A is the development of neutralizing antibodies anti-factor VIII (inhibitors). Among the non-genetic risk factors for inhibitors development, the influence of the type of factor concentrate used in replacement therapy remains controversial. Objective: The aim of this study was to systematically review the incidence of inhibitor development after treatment with recombinant factor FVIII (rFVIII) compared with plasma factor FVIII (pdFVIII) in previously untreated patients (PUPs) with severe hemophilia A. Methods: A computer-assisted search of MEDLINE, Cochrane Library, EMBASE, Scopus, Google Scholar and Web of Science, without language restriction, between January 2010 and May 2022, was conducted using different combinations keywords. Other publications were selected from presentations from the largest conferences in the area, to identify relevant studies not detected in the electronic search. Additional studies were identified by contacting experienced researchers in the field and searching the reference list of primary studies. The articles were analyzed by two independent reviewers using pre-established eligibility criteria and in case of disagreement, a third independent reviewer was responsible for the final decision. To avoid double counting of the same cohort of patients, study periods were observed, and patients in duplicates were excluded. Data extraction form was made using the RedCap Platform. If some study data were missing or incomplete, an email was sent to the corresponding author to obtain the information. Quality assessment was performed on all included studies using The Newcastle-Ottawa Scale for Observational Cohort and Case Control Studies (NOS) and The Cochrane RoB 2.0 scale. Results: Of the 974 potentially relevant publications initially selected, 34 were included in the final analysis, published between January 2010 to May 2022. Data from 4,244 patients enrolled in these studies were included in this analysis. Of these, 1,047 received pdFVIII, and 3,324 received rFVIII. The total number of patients who developed inhibitors was 1,136, of which 204 (19.5%) were treated with pdFVIII and 929 (28.8%) with rFVIII. High-titer inhibitors were found in 730/4,271 (17.1%) patients, 144/1,047 (13.8%) for pdFVIII and 585/3,224 (18.1%) for rFVIII. The pooled analysis of all studies showed inhibitor incidence rate of 17% for pdFVIII vs. 28% for rFVIII. Regarding high-titer inhibitors, the pooled incidence rate was 11% for pdFVIII studies compared to 17% for rFVIII (figure 1). Analyzing the different generations of rFVIII, it was observed the inhibitor incidence rate of 19% for first-generation rFVIII, 31% for the second-generation, 26% for third-generation and 27% for fourth-generation. Considering only the pooled incidence rate of high-titer inhibitors, it was observed 15%, 23%, 15% and 16 %, respectively. The inhibitor incidence rate in patients who received extended half-life (EHL) rFVIII was 28%, with 14% of high-titer inhibitor. Comparing pdFVIII concentrates to standard rFVIII, there was a statistically significant difference (p = 0.004). Regarding the two EHL-rFVIII concentrates with data available in the literature on PUPs (rFVIII-Fc [Elocta®] and N8-PEG [Esperoct®]) it was demonstrated also a statistical difference in inhibitor development compared to pdFVIII (p = 0.003). However, when compared inhibitor incidence rate of third-generation rFVIII and EHL-rFVIII, no statistical difference was observed. Nevertheless, the incidence rate of high-titer inhibitors among patients using pdFVIII and rFVIII, was statistically different only with second-generation rFVIII concentrates (p = 0.001). Conclusions: In our systematic review and meta-analysis, which included 34 studies, an increase in the incidence of inhibitors was demonstrated in patients who used rFVIII when compared to pdFVIII. However, when analyzing only high-titer inhibitors, there was statistical difference only with second-generation rFVIII, which are not commonly used nowadays. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.980
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.038
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0200.031
Bibliometrics0.0080.009
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.075
GPT teacher head0.335
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes1
Has abstractyes

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