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Enregistrement W4389243824 · doi:10.1182/blood-2023-183076

Direct Effect of Iron Deficiency Independent of Anemia on Adverse Perinatal Outcomes- a Scoping Review

2023· review· en· W4389243824 sur OpenAlexaff
Lucky Osaheni Lawani, Nadine Shehata, Joel G. Ray, Jessica Widdifield, Paul Eze, Judith Chidumebi Idemili, David Naimark

Notice bibliographique

RevueBlood · 2023
Typereview
Langueen
DomaineMedicine
ThématiqueIron Metabolism and Disorders
Établissements canadiensHealth Sciences CentreSt. Michael's HospitalSunnybrook Health Science CentreMount Sinai HospitalUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicineAnemiaPregnancyIron deficiencyIron-deficiency anemiaSystematic reviewPediatricsRandomized controlled trialMeta-analysisAdverse effectLow birth weightMEDLINEIntensive care medicineObstetricsInternal medicine

Résumé

récupéré en direct d'OpenAlex

Introduction Iron is required throughout pregnancy by both the pregnant individual and the fetus. Iron stores can be depleted during pregnancy resulting in iron deficiency (ID), which is the most common cause of anemia in pregnancy. Iron deficiency anemia (IDA) is associated with an approximately two-fold increase in adverse perinatal outcomes (APO) such as low birth weight (LBW), preterm delivery, and stillbirth. It is uncertain whether depleted iron store in a non-anemic pregnant individual affects fetal growth and well-being. The effect of ID per se on these outcomes, independent of anemia, is the central focus of this scoping review. If an independent association between iron deficiency without anemia (IDWA) and these APO is established and given the potential for non-anemic iron deficiency to progress to IDA, early screening, and intervention before the development of IDA may be important in preventing these morbidities and mortality. Our objective is to determine the current state of existing knowledge concerning IDWA and APO. The specific aims are to determine the prevalence of IDWA in pregnant individuals, assess predictors and determine types of APO associated with IDWA. Methods We performed a comprehensive systematic scoping review of the independent effect of IDWA on APO. The search for relevant studies involved Ovid Medline, Cochrane Database of Systematic Reviews, Cochrane Control Register of Controlled Trials, and hand search of citations of relevant articles for cohort and cross-sectional studies, randomized controlled trials, systematic reviews, and meta-analyses, scoping and narrative reviews from the inception of the databases. We used all relevant Medical Subject Headings terms and subheadings with no language restrictions. Two reviewers independently screened titles, abstracts, and full text based on the outlined inclusion and exclusion criteria. The inclusion criteria include relevant studies reporting on IDWA in pregnancy and APO. Exclusion criteria include studies not reporting IDWA and APO, and the presence of medical conditions such as hemoglobinopathies, polycythemia, iron overload, autoimmune and inflammatory conditions. Discrepancies were resolved through discussion and consensus. Covidence ® systematic review software was used for screening, automatically eliminating duplicates and data extraction. PRISMA for Scoping Reviews reporting guidelines was used. The selection process and results of included and excluded studies were presented with a PRISMA flow chart. A narrative summary was conducted to descriptively summarize the findings. Results A total of 4389 articles were identified from the searched databases after all duplicates were removed. Two studies conducted between 2005-2008 and 2017-2018 respectively met the inclusion criteria and were eligible for data extraction. A total of 5684 participants made up of 5479 Danish and 205 Spanish cohorts were included. The prevalence of IDWA in Denmark was 14.2% based on serum ferritin of <30μg/L and hemoglobin ≥110g/L and 20% in Spain using thresholds of SF <12μg/L and Hb≥110g/L. The mean (standard deviation, SD) age of participants was 31.8 ± 5.0 years in Denmark, and the mean (95% CI) was 31.0 (29.4-32.6) years in Spain. In the Danish study, the babies had a mean (SD) birth weight of 3508±523g and were on average 192g smaller (p=0.028). The mean (SD) gestational age (GA) at delivery was 39.8±1.7 weeks, adjusted odds ratio (95%CI) of LBW was 0.6 (0.4-1.0), stillbirth 4.0(1.0-14.3) and gestational diabetes mellitus 1.1 (0.7-1.7) in the IDWA group. The Spanish study reported a mean (95% CI) infant birth weight (IBW) of 3140 (3067-3213) g, reduction in adjusted IBW of -192.4 (-363.6, -21.2)g, p=0.028, R 2c.100 = 35.4, F 194,11 =9.3, p<0.001 in IDWA. Both studies reported the covariates and predictors of APO including parity, race, body mass index, and socioeconomic status. Conclusion Overall, there is limited research on this important obstetric hematology topic. The few available studies identified higher odds of non-causal association between IDWA, stillbirth, and smaller birth weight. Similarly, there was a non-significant causal association with most predictors and maternal medical complications of pregnancy. These findings will motivate further research work by our team. The study will involve the use of large population-based data to establish a potential causal association between IDWA and APO.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,054
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,015
Score d'incertitude au seuil0,048

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,054
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0080,008
Bibliométrie0,0150,013
Études des sciences et des technologies0,0010,001
Communication savante0,0040,002
Science ouverte0,0020,002
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0070,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,029
Tête enseignante GPT0,354
Écart entre enseignants0,325 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeRevue systématique
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2023
Routes d'admission1
Résumé présentoui

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