Psychiatric disorders in patients with lower urinary tract symptoms: A systematic review including a subgroup meta-analysis on the association between LUTS and depressive symptoms
Bibliographic record
Abstract
Lower urinary tracts symptoms (LUTS) – voiding symptoms, storage symptoms, or post-micturition symptoms – and psychiatric disorders are often comorbid conditions in patients. However, no systematic review on the association between urological symptoms and psychiatric symptoms in a broad sense had yet been presented. We aim to systematically review the literature on the association of lower urinary tract symptoms with psychiatric symptoms or disorders. This systematic review and meta-analysis is conducted according to the PRISMA guidelines. We searched MEDLINE, Embase (Ovid interface), CINAHL and PsycINFO (EBSCO interface) for studies published between database inception and Oct 7th, 2021. The quality of the studies was assessed with Newcastle Ottawa Quality Assessment scale. This review is registered in the PROSPERO register (CRD42021207308). Of 1974 records identified, 77 studies fulfilled the inclusion criteria. 68 of these had a risk of overall bias of middle or low in the NOS bias assessment scale (Lo et al., 2014; Hamling et al., 2008) [1], [2]. A positive association was found between; LUTS with depression in 31 studies, and with anxiety in 11 studies; OAB with depression in 12 studies, and with anxiety in 13 studies; nocturia with depression in 6 studies; urinary incontinence (both stress and urge) with depression in 13 studies; and voiding dysfunction with depression and anxiety in 7 studies. To our knowledge, this systematic review is the first to research the full range of lower urinary tract symptoms in association with psychiatrics symptoms or disorders. Results show an association between LUTS and psychiatric symptoms in a broad sense, however, most studies report on LUTS in association with depression and anxiety, and less studies report on other psychiatric symptoms or disorders. Further research to specify this will be needed to make a valid statement on specific psychiatric disorders in association with LUTS.
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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 | 0.009 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.028 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".