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Enregistrement W4413768304 · doi:10.1016/j.lanprc.2025.100008

Active case detection using loop-mediated isothermal amplification technology and treatment versus standard of care for malaria in pregnancy in Ethiopia (LAMPREG): a pragmatic randomised diagnostic outcomes trial

2025· article· en· W4413768304 sur OpenAlexafffundabout
Mekonnen Teferi, Banchamlak Tegegne, Claire Kamaliddin, Rediet Fikru Gebresenbet, Abebe Genetu Bayih, Filmona Mekuria, Z. A. Mekonnen, Bethelhem Solomon, Hiwot Tilahoun, Jack Burke-Gaffney, Delenasaw Yewhalaw, Dylan R. Pillai, Shoaib Ashraf, Biniyam Mezgebo, Archie Shchemialiou, Ruth Legese, James Cheaveau, Frederick Dun-Dery, Joseph Vayalumkal, Abhay Lodha, Cord Lethebe, Muluye Shimelis, Ermias Hundito, Taye Teka, Deneke Zewdu, Sintayehu Ejeta, Pawulos Kassaw, Endalkachew Nibret, Abaineh Munshea, Getaneh Alemu, Daniel Yilma, Samuel Hunegnaw

Notice bibliographique

RevueThe Lancet Primary Care · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueMalaria Research and Control
Établissements canadiensUniversity of Calgary
Organismes subventionnairesCumming School of Medicine, University of CalgaryGrand Challenges Canada
Mots-clésLoop-mediated isothermal amplificationMalariaStandard of carePregnancyRandomized controlled trialMedicineDiagnostic testObstetricsIsothermal processEmergency medicineInternal medicineBiologyPhysicsImmunology

Résumé

récupéré en direct d'OpenAlex

Background Malaria in pregnancy is a substantial public health risk, particularly in sub-Saharan Africa. Conventional diagnostic tools, such as microscopy and rapid diagnostic tests (RDTs), often miss infections with low-level parasitaemia. We aimed to evaluate the effectiveness of a screen-and-treat strategy using loop-mediated isothermal amplification (LAMP) technology compared with the standard of care to improve maternal and infant health outcomes in rural Ethiopia, where intermittent preventive treatment in pregnancy is not implemented. Methods We conducted a pragmatic randomised diagnostic outcomes trial across eight health facilities (three hospitals and five health centres) in Ethiopia. Pregnant women aged at least 18 years in their first or second trimester, established via ultrasound dating, were randomly assigned to the LAMP group (in which patients were tested for malaria with LAMP, RDT, and microscopy at every visit, regardless of the presentation of malaria symptoms) or the standard-of-care group (in which patients were tested for malaria with RDT and microscopy only at visits where they were symptomatic for malaria, which is the standard of care in Ethiopia). Randomisation was done by data managers, stratified by gravidity, and done without masking or concealment. Women who tested positive for malaria infection were treated with artemether–lumefantrine. The primary outcome was the proportion of liveborn infants with low birthweight (<2500 g) in both the intention-to-treat (ITT; all randomised participants) and per-protocol (participants for whom birthweight was recorded) populations. We assessed the diagnostic performance (ie, sensitivity, specificity, and positive and negative predictive values) of LAMP, RDT, and microscopy by comparing them to a molecular reference method (laboratory-developed test reference 28). This trial is registered with ClinicalTrials.gov (NCT03754322) and is completed. Findings 2425 women were enrolled between June 18, 2021, and July 19, 2023 (1570 [64·7%] randomly assigned to the LAMP group and 855 [35·3%] to the standard-of-care group). We did not meet the prespecified sample size of 2583. After imputation for missing data, the ITT analysis included 1570 women with 1521 livebirths in the LAMP group and 855 women with 842 livebirths in the standard-of-care group. Among these livebirths, the proportion of infants with low birthweight at delivery did not differ between the LAMP group (74 [4·9%] of 1521 infants) and the standard-of-care group (39 [4·6%] of 842 infants; odds ratio [OR] 1·24 [95% CI 0·70–2·18]; p=0·65). The per-protocol analysis had similar results (33 [3·4%] of 968 infants in the LAMP group vs 18 [3·4%] of 525 infants in the standard-of-care group; OR 0·99 [0·56–1·82]; p>0·99). In our trial populations, LAMP had better sensitivity (94·1% [95% CI 90·0–96·9]) than microscopy (67·2% [60·3–73·6]) and RDT (67·6% [60·8–74·0]). Specificity was 99·0% (95% CI 98·6–99·3) with LAMP, 99·7% (99·5–99·9) with microscopy, and 99·97% (99·8–100) with the RDT. The positive predictive value of LAMP (84·6% [95% CI 79·2–89·0]) was lower than that of both microscopy (93·2% [87·8–96·7]) and RDT (99·3% [96·1–100·0]). The negative predictive value of LAMP (99·7% [99·4–99·8]) was higher than both microscopy (98·1% [97·6–98·5]) and RDT (98·2% [97·7–98·6]). Common adverse events included headache (95 [6·1%] of 1570 participants in the LAMP group and 37 [4·3%] of 855 participants in the standard-of-care group) and preterm delivery (82 [5·2%] of 1570 participants in the LAMP group and 58 [6·8%] of 855 participants in the standard-of-care group). Severe adverse events included admission to hospital (20 [1·3%] of 1570 participants in the LAMP group and four [0·5%] of 855 participants in the standard-of-care group) and life-threatening conditions (16 [1·0%] of 1570 participants in the LAMP group and two [0·2%] of 855 participants in the standard-of-care group). No adverse events were related to the LAMP diagnostic intervention. Interpretation There was no benefit of LAMP over standard of care regarding low birthweight in the trial. LAMP was more accurate at detecting malaria in pregnancy when compared with microscopy and RDT. Future, powered studies should evaluate the effects of highly sensitive malaria tests, including in other transmission settings. Funding Grand Challenges Canada Transition to Scale, University of Calgary Vice President Research Fund, University of Calgary Cumming School of Medicine, and Foundation for Innovative New Diagnostics.

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)0,010
score de la tête « metaresearch » (Gemma)0,012
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: Essai randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,010
Score d'incertitude au seuil0,052

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0100,012
Méta-épidémiologie (sens strict)0,0040,001
Méta-épidémiologie (sens large)0,0060,005
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,002
Communication savante0,0020,002
Science ouverte0,0020,002
Intégrité de la recherche0,0040,003
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

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 Opus0,023
Tête enseignante GPT0,324
Écart entre enseignants0,301 · 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'étudeEssai randomisé
Domainenon disponible
GenreEmpirique

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

En bref

Citations3
Publié2025
Routes d'admission3
Résumé présentoui

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