Quality of life in people with transsexuality after surgery: a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Several reports have demonstrated varying results on the quality of life (QoL) of the transgender population. Therefore, the aim of this study was to conduct a systematic review and meta-analysis about the quality of life (QoL) of individuals during the post transsexual surgery period. METHODS: We searched major biomedical electronic databases, including Scopus, Google Scholar, Psychological Information Database (PsycInfo), Web of Science, PubMed, Excerpta Medica dataBASE (EMBASE), and ProQuest, for all relevant literature published in English up to December 2019. The included papers required to be cross sectional studies that reported quality of life in people with transsexuality post surgery. After selecting eligible studies, 2 authors extracted data of each study independently and resolved any inconsistency by consensus with the third reviewer. The risk of bias was assessed by 2 independent research experts by the Newcastle-Ottawa Scale (NOS). RESULTS: In this study, out of 497 articles extracted from the initial investigation, 8 articles with 1099 patients were ultimately selected for meta-analysis. The pooled mean of quality of life in transsexual individuals was obtained to be 70.45 (95%CI 55.87-85.03) and 59.17 (95%CI 48.59-69.74), based on World Health Organization Quality of Life (WHOQoL-BREF) and The 36-item short form of the Medical Outcomes Study questionnaire (SF36), respectively. Also, the results of the subgroup analysis for the weighted mean quality of life in male to female and female to male showed that the mean quality of life in female to male was 57.54 (95%CI 42.24-72.84) and it was 62.47 (95%CI 45.94-79.00) in male to female, based on SF36 questionnaire. Moreover, the weighted mean quality of life in female to male was 69.99 (95%CI 43.76, 96.23) and it was 70.65 (95%CI 53.11, 88.19) in male to female, based on WHOQoL-BREF questionnaire. CONCLUSION: The results of this systematic review may support the approaches to transsexuality that facilitates sex reassignment. In this review, the means of quality of life after surgery were not compared to the means of quality of life before surgery or even before hormonal therapy which was due to inadequate number of primary studies.
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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 | 0.016 | 0.032 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.039 |
| Bibliometrics | 0.010 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| 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".