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Record W2921081029 · doi:10.1093/jcag/gwz006.083

A84 UPDATED SYSTEMATIC REVIEW WITH NETWORK METAANALYSIS ON COMPARATIVE EFFICACY AND TOLERABILITY OF DIFFERENT INTRAVENOUS IRON PRODUCTS FOR THE TREATMENT OF IRON DEFICIENCY ANEMIA IN PATIENTS WITH IBD

2019· article· en· W2921081029 on OpenAlexaboutno aff
A Aksan, Heinfried H. Radeke, Axel Dignaß, Jürgen M. Stein

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFerumoxytolInternal medicineTolerabilityGastroenterologyAnemiaIron sucroseHepcidinConcomitantIron-deficiency anemiaPopulationIron deficiencyInflammatory bowel diseaseAdverse effectIntravenous ironDisease

Abstract

fetched live from OpenAlex

In patients with inflammatory bowel disease (IBD), iron deficiency anemia (IDA) is a frequent complication. Causes include intestinal bleeding, reduced iron intake and impaired duodenal iron absorption due to chronic inflammation and concomitant medications (eg. 5-ASA, PPI). Reduced absorptive capacity and low therapy adherence often render oral iron therapies ineffective. Intravenous (IV) iron substitution has been shown to be more effective in IBD patients with IDA and international guidelines recommend IV iron therapy. Variances in core size, composition and shell density cause variations in the efficacy and tolerability of IV iron products. We aimed to compare response rates and safety of ferric carboxymaltose (FCM), ferumoxytol (FOX), iron sucrose/saccharate (IS), iron isomaltoside (ISM) and iron dextran (IDX) in IBD patients with IDA by adding recent data to our 2016 network metaanalysis (NMA) and systematic review. Using the same methodology, PUBMED, SCOPUS, Web of Science and Cochrane databases were searched in 8/2018 for articles published since 7/2016. Primary outcome was hematopoietic response (% of patients) defined as Hb normalization or increase ≥2g/dL. Secondary outcome was AE rate (safety population). We identified 151 studies including 4 prospective observational studies (2 FCM, 2 ISM), making 18 studies in total. No studies on FOX were eligible and no RCTs eligible for the NMA (4 studies) were found. In total, the updated systematic review included 7 studies (n= 798) for FCM, 2 studies (n=78) for IDX, 8 studies (n=508) for IS, and 3 studies (n=423) for ISM (infusion/bolus). Overall response rates were: FCM 599/798(78%); IDX 33/78(42%); IS 344/508(68%); ISM 265/423(63%). All IV iron products were reported to be well tolerated. Overall rates of AEs and SAEs were 66/836(7.9%), 1/836(0.1%) for FCM; 10/83(12%), 0/83 for IDX; 72/471(15.3%), 1/471(0.2%) for IS; 54/424(12.7%), 5/424(1.2%) for ISM. FCM was significantly more effective than oral iron (OR=1.9, 95% CrI [1.1;3.2]). IS and ISM showed better response rates than oral iron (insignificant). For the node-splitting analysis of the Bayesian NMA, p <0.05 indicated insignificant inconsistency. Our findings indicate ferric carboxymaltose to be the most effective IV iron formulation as monotherapy, followed by IS and ISM. FCM also had fewer AEs. The totality of evidence showed that further studies are unlikely to overturn this result. FCM has not yet gained approval for use in Canada. Worldwide, FCM has been considerably more widely studied in an IBD population than its competitors. Further studies are thus needed to evaluate other IV iron products and establish their comparative efficacy and safety in patients with IBD and IDA. None

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)0.014
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.040
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0170.036
Bibliometrics0.0090.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.007
GPT teacher head0.223
Teacher spread0.215 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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