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Record W4412872467 · doi:10.1016/j.ijregi.2025.100706

Mapping antimicrobial susceptibility of community-acquired uropathogenic Escherichia coli across low, middle and high-income countries highlights significant differences: insights for empiric treatment

2025· article· en· W4412872467 on OpenAlexaff
Meher Rizvi, Maria Khan, Amina Al‐Jardani, Seif Al-Abri, Ujjala Ghoshal, Zaaima Al Jabri, Mohammad Ahanjan, Azza AL Mamari, Nawal AL Shizawi, Hiba Sami, Abdullah Balkhair, Alwarith Nasser Salem Alkharusi, Abdulrahman Almahrouqi, Afreenish Hassan, Ajay Kumar, Amal Malehi, Amina Gul, Ashima Singh, Asma Said Hamed Al Shidhani, Areena Hoda Siddiqui, Aruna Poojary, Azza Al Rashdi, Bradley J. Langford, Dmytro Stepanskyi, Abbas Dolatabadi, Amal Al-Maani, Elham Said Al-Risi, Garima Kapoor, Isabella Princess, Hawra Al Lawati, Hatim Ali Eltahir, Hilal Al Sidairi, Katia Iskandar, Ken Masters, Ibrahim Al Busaidi, Laila Al Yazidi, Mahfuza Nasrin, Mahmood Salim Al Subhi, Mallika Sengupta, Manisha Khandait, Nada Khalfan Al Tamtami, Nada Khafan Al Siyabi, Nawal Al Kindi, Nazla Musthafa Luthfee, Neha Shreshtha, Nihal Mohamed Amur Al Riyami, Noora Al Busaidi, Nupur Goel, Оксана Іщенко, Omnia Mohamed Elnabawy Ahmed Taher, Pragnya Paramita Jena, Ekadashi Rajni, Razan Al Zadjali, Reba Kanungo, Sara Abolghasemi, Salima Al Maqbali, Sayantan Banerjee, Shadma Yaqoob, Shahnaz Sali, Shafqat Husnain Khan, Shalini Malhotra, Stephen Hughes, Sundas Shaukat, Syed Mohammed Atif, Dr Vrushali Vishwas Patwardhan, Victorien Dougnon, Wahid Khan, Walid Al Wali, Zakariya Al Muharrmi, Zeeshana Basit, Jasashree Choudhury, Rachita Pravalina, M John, Sanjeev Singh, Sarman Singh, Neelam Taneja, Raman Sardana, Abdul Ghafur, Pawan Kapoor, Rajeev Soman, Rashid Al Abri

Bibliographic record

VenueIJID Regions · 2025
Typearticle
Languageen
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsUniversity of Toronto
FundersData Across Sectors for HealthCenters for Disease Control and PreventionSultan Qaboos University
KeywordsEscherichia coliAntimicrobialLow and middle income countriesLow incomeMicrobiologyEnvironmental healthBiologyMedicineSocioeconomicsEconomic growthEconomicsDeveloping countryGeneticsGene

Abstract

fetched live from OpenAlex

Objectives: isolates in low, middle, and high-income countries (LMICs and HICs). Methods: susceptibility profile was analyzed using the Kruskal-Wallis test and two-way analysis of variance. Results: = 0.002). Conclusion: susceptibility patterns support the need for localized antibiograms and tailored empirical therapy. This study reinforces the utility of nitrofurantoin and fosfomycin as first-line agents and discourages the use of fluoroquinolones and third-generation cephalosporins.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.552
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.294
Teacher spread0.254 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations2
Published2025
Admission routes1
Has abstractyes

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