The quality of life of men experiencing infertility: a systematic review
Bibliographic record
Abstract
BACKGROUND: Men experiencing infertility encounter numerous problems at the individual, family, and social levels as well as quality of life (QOL). This study was designed to investigate the QOL of men experiencing infertility through a systematic review. MATERIALS AND METHODS: This systematic review was conducted without any time limitation (Retrieval date: July 1, 2023) in international databases such as Scopus, Web of Science, PubMed, and Google Scholar. The search was performed by two reviewers separately using keywords such as QOL, infertility, and men. Studies were selected based on inclusion and exclusion criteria. The quality of the articles were evaluated based on the Newcastle-Ottawa Scale. In the initial search, 308 studies were reviewed, and after removing duplicates and checking the title and abstract, the full text of 87 studies were evaluated. RESULTS: Finally, 24 studies were included in the final review based on the research objectives. Based on the results, men's QOL scores in different studies varied from 55.15 ± 13.52 to 91.45 ± 13.66%. Of the total reviewed articles, the lowest and highest scores were related to mental health problems and physical dimensions, respectively. CONCLUSION: The reported findings vary across various studies conducted in different countries. Analysis of the factors affecting these differences is necessary, and it is recommended to design a standard tool for assessing the quality of life of infertile men. Given the importance of the QOL in men experiencing infertility, it is crucial to consider it in the health system. Moreover, a plan should be designed, implemented and evaluated according to each country's contex to improve the quality of life of infertile men.
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 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 | 0.016 | 0.050 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".