Are the estrogens an effective umbrella against bacterial bladder invasion?
Bibliographic record
Abstract
This is a well design study which showed effectiveness of the topical estrogen on prevention of asymptomatic bacteriuria (AB) in post–menopausal women with stable Type II diabetes. Vaginal microecology is of special interest since rarely it is taken into account in this kind of study. AB is a very complex issue with different characteristics and sometimes conflicting results. There are several aspects which need to be addressed. What is a definition of asymptomatic bacteriuria? Authors [1] used ≥105 cfu/ml bacterial count, which is a classic definition. However, several recent reports indicate that 103 cfu/ml or even lower may be more appropriate. Would this have changed the conclusions? I doubted. However, we have to keep in mind that we do not have a perfect definitions. I was also surprised that no Klebsiella organism was reported. Is this really asymptomatic or it is related to peripheral neuropathy and decreased bladder sensation? A lot of patients (25–90%) with type II diabetes have diabetic cystopathy. Bladder cystopathy has been described as decreased bladder sensation, poor contractility and increased post–void residual urine (PVR). Aspects of voiding dysfunction and post void residual were not address at all in this paper. It is well known that high PVR contributes to recurrent UTI's and AB. Estrogens have been shown to improve urethral function in patient with incontinence but there is little evidence in literature that it would improve detrusor contractility or PVR. The incidence of peripheral neuropathy was the same in both groups in this report but this may not be extrapolated into the diabetic cystopathy occurrence. The correlation of sexual activity and recurrent AB and UTI's is also well established in all ages. Although sexual activity may decrease in postmenopausal women and diabetes, this should also be taken into consideration, before any final conclusions. Using pefloxacin for treating symptomatic UTI's is quite heavy approach. I think this treatment should be reserved for patients with life threatening infections or when the culture shows resistant bacteria or patient is allergic to more commonly used antibiotics as ampicillin or sulfa drugs. This is of particular importance in view of the emergence of resistant bacteria to even the newest antibiotics. Statistical analysis of the patients’ population was not done according to the principle of “intention to treat” analysis. Several patients were excluded from both groups after inclusion into the study. Although, this may not have changed the results significantly but weakened the final conclusions. Although the present study showed beneficial results of estrogen on AB and recurrent UTI's, there are several reports in the literature which did not find a protective effect of estrogen on AB or UTI's in postmenopausal women. Therefore, the efficiency of estrogen in preventing AB and UTI's is still questionable.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".