Impact of Sexual Abuse on Post-Traumatic Stress Disorder in Children and Adolescents: A Systematic Review
Bibliographic record
Abstract
Child sexual abuse (CSA), the most common type of maltreatment, is any action of a sexual nature by one or more adults towards a minor without the minor’s consent. This abuse represents one of the most damaging forms of trauma, has a severe impact on mental health and psychopathology, and can lead to several disorders, including post-traumatic stress disorder (PTSD). PTSD is characterized as a disorder that encompasses physical symptoms resulting from traumatic experiences that are experienced or witnessed by the victim. This systematic review aims to understand the impact of sexual abuse on post-traumatic stress disorder in children and adolescents. Studies focusing on the relationship between these two variables were obtained through multiple databases. Of the 940 documents collected, 24 were retained for further analysis and the objectives, methodologies, results, and main conclusions were registered. One of the main conclusions was that the earlier the abuse starts and the more severe and long-lasting it is, the symptomatology of PTSD will be aggravated and remain in the long term.
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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".