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Record W3043436689 · doi:10.1101/2020.07.17.20156224

Extended effect of short-course azithromycin for the treatment of diarrhoea in children on antimicrobial resistance in nasopharyngeal and intestinal bacteria: Study Protocol for the antimicrobial resistance sub-study of the multicountry AntiBiotics for Children with Diarrhea (ABCD) trial

2020· preprint· en· W3043436689 on OpenAlexaff
Taseen A Alam, Dilruba Ahmed, Tahmeed Ahmed, MJ Chisti, M. Wakilur Rahman, Aishwarya Chauhan, S Deb, P Dhingra, Usha Dhingra, Arup Dutta, Amit K. Keshari, A Pandey, Sunil Sazawal, S. Belanger, Kevin Kariuki, S Karuiki, Patricia B. Pavlinac, Benson Singa, Judd L. Walson, Jennifer Cornick, Queen Dube, Bridget Freyne, Victor Maiden, Chifundo Ndamala, Latif Ndeketa, Richard Wachepa, Henry Badji, Jean‐Paul Booth, Flanon Coulibaly, Fatoumata Diallo, Fadima Cheick Haidara, K Kotloff, Dramane Malle, A Mehta, Samba O. Sow, Milagritos D. Tapia, Sharon M. Tennant, Rabia Anjum, A Hotwani, Amjad Hussain, P Hussain, F Kabir, Farah Naz Qamar, S Shakoor, Tahir Yousafzai, Christopher Duggan, Upendo Kibwana, Rodrick Kisenge, C Lomward, Karim Manji, Sarah Somji, C Sudfeld, Per Ashorn, Rajiv Bahl, Ayesha De Costa, Jakub K. Simon

Bibliographic record

VenuemedRxiv · 2020
Typepreprint
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsCentre for Global Health Research
FundersRTI InternationalBill and Melinda Gates Foundation
KeywordsAzithromycinMedicineDiarrheaAntibiotic resistanceRandomized controlled trialPlaceboAntibioticsWastingPediatricsAntimicrobialInternal medicineMicrobiologyAlternative medicine

Abstract

fetched live from OpenAlex

Abstract Introduction Antimicrobial resistance (AMR) is a major public health challenge worldwide, threatening the important gains that have been made in reducing mortality due to infectious diseases. Despite current World Health Organization guidelines restricting antibiotics to a small subset of children with dysentery or suspected cholera, many children with diarrhea continue to be treated with antibiotics. We aim to determine the impact of a 3-day course of azithromycin on the risk of AMR at 90 and 180 days after treatment, among a subset of children and their household contacts enrolled into a multi-country, randomized, double-blind, placebo-controlled clinical trial of azithromycin children under 2 years with diarrhea in low income settings, Methods and analysis The AntiBiotics for Children with Diarrhea (ABCD) trial is testing the efficacy of a 3-day course of azithromycin, compared to placebo, in reducing mortality and linear growth faltering in the subsequent 6 months among 11,500 children aged 2-23 months of age across multiple sites in Bangladesh, India, Kenya Malawi, Mali, Pakistan and Tanzania with diarrhea and one or more of the following; dehydration, severe stunting, or moderate wasting ( https://clinicaltrials.gov/ct2/show/NCT03130114 ). A sub-set of enrolled children are randomly selected to participate in a sub-study of AMR. A fecal sample (stool or rectal swab) will be collected at baseline from all enrolled children. A fecal sample and a nasopharyngeal (NP) swab will be collected at day 90 and 180 after enrolment from participating children and a close household child contact. Escherichia coli and Streptococcus pneumoniae will be isolated and Minimum Inhibitory Concentration for azithromycin and other commonly used antibiotics will be determined and compared between trial arms. Ethics and dissemination This study was reviewed by an independent ethical review committee. Dissemination of results is planned to local and international policy makers and the public. Registration details (Parent ABCD trial) https://clinicaltrials.gov/ct2/show/NCT03130114 Strengths and limitations of this study (3-5 points) ✤ This study will provide evidence from a randomized controlled trial regarding the risk of short term azithromycin use on resistance to azithromycin and selected commonly used antibiotics, 90 and 180 days after administration in treated children and their household contacts. Few RCTs of antibiotics for diarrhoea have provided such long-term follow-up and close contact data, both of which are key to understanding the potential risk of short-term antibiotic use in the context of diarrhoea. ✤ This study will also provide data on antibiotic resistance from multiple countries in sub-Saharan Africa and Asia where availability of such data is limited. ✤ Escherichia coli and Streptococcus pneumoniae will be used as indicator organisms to monitor the impact of empiric antibiotic azithromycin administration on the development of resistance in bacteria colonising the gut and nasopharynx respectively – both are suitable for this purpose as they have pathogenic potential and are also commensal organisms which may act as reservoirs of transmissible genetic resistance elements. ✤ With only two follow-up visits at 90 and 180 days, lack of culturing of other bacterial pathogens, and minimal collection of information on other antibiotic use during follow-up, this study will not evaluate impact of azithromycin beyond 180 days, the impact on other pathogenic bacteria, nor the added impact of the use of other antibiotics on resistance profiles

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)0.011
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.040
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.010
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.003
Open science0.0020.001
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0400.008

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 head0.017
GPT teacher head0.293
Teacher spread0.276 · 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 designNot applicable
Domainnot available
GenreProtocol

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
Published2020
Admission routes1
Has abstractyes

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