Prevalence and Antibiotic Susceptibility of Gram-Negative Bacteria: A Study in ICU of Lahore General Hospital, Lahore with Mac Conkey Growth Medium
Bibliographic record
Abstract
Aim: Antibiotic sensitivity of gram-negative bacteria responsible for infections on Mac Conkey medium Methodology: Blood samples were cultured on MacConkey medium and antibiotic sensitivity was done by the technique called disk diffusion. Sample size: 200 subjects Duration of research: Four months i.e. 01-09-2022 to 31-12-2022 Results: 148 were gram-negative bacteria, 25 having growth of mixed types and there was no growth in 27cases. In 148 subjects, resistance for ceftriaxone, ceftazidime, imipenem, meropenem, and doxycycline was 79%, 75.6%, 58.7%, 65.5% and 51.3% respectively. Gram-negative bacteria had high resistance %age of cefotaxime and the low for doxycycline. Conclusion: By gram staining technique, cases were all gram-ve bacteria. A species of Klebsiella was originated frequently in blood sample i.e. 18.5%. Keywords: Incidence, antibiotic sensitivity, infection in blood, gram-ve species
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".