The Study Interventions dataset includes information about each of the specific treatment arms that were studied in all RCTs. Each study arm was coded to indicate the type of intervention or comparison condition. This dataset includes the study-level Study Class as well as individual variables for each category of treatment, coded as Yes or No for each arm. Study arm treatment category variables are as follows: Pharmacotherapy (as well as a subclass such as antidepressant, antianxiety, etc.); Psychotherapy (as well as a subclass to identify trauma-focused or non-trauma-focused therapy); Complementary and Integrative Health (CIH; as well as a subclass such as relaxation or meditation); Nonpharmacologic Biological; Nonpharmacologic Cognitive; Collaborative Care; Other Treatments; Control
The Study Intervention dataset also includes information on the format of the treatment (individual, group, couples, mixed); treatment delivery method (in person, by phone, by video, technology alone, technology assisted, written or mixed); dose or amount of treatment and, treatment completion and adherence. Use this dataset to learn about treatment studies of a particular type

Each record is an arm of the study, labeled as A, B, C, or D. Values abstracted as not applicable ("NA") or not reported ("NR") from the study are null values (empty cells).

Definitions of abbreviations found throughout the PTSD-Repository.

The Study Characteristics dataset includes basic information about study design. In addition to study class, the dataset includes clinical setting, whether the study looked at PTSD symptom clusters, whether there were any subgroup analyses, type of diagnostic measure used (e.g., diagnostic interview, self-report), and provider credentials. Use this dataset to better understand the variety of RCT designs employed, compare studies by study class or to identify gaps in the literature for potential new RCTs. Visualizations made from this dataset will be based on the 550 RCTs included in the PTSD-Repository. Values reported as "NA" or not reported "NR" by the study are null values (empty cells). Data is at the study level.

The Sample Characteristics dataset includes information on the participants who are included in the studies. This information is provided at the study level—meaning, data are not broken down into the specific treatment arms such as the intervention or control groups. Use this dataset if you want to learn more about the number of participants in the study; inclusion and exclusion criteria related to substance use and suicidality; baseline clinical characteristics such as PTSD severity, trauma type, military status, and comorbidities; and, basic demographic information such as age, gender or race for the sample as a whole (not individual participants). Visualizations made from this dataset will be based on the 496 RCTs included in the PTSD-Repository. Values reported as "NA" or not reported "NR" by the study are null values (empty cells). Data is at the study level.

This dataset provides within-arm results for dichotomous outcomes: loss of diagnosis and clinically meaningful response. Included is information on how loss of diagnosis and clinically meaningful response were defined as well as the percent of participants who achieved loss of PTSD diagnosis/clinically meaningful response Each treatment arm is presented on its own row. There are also separate rows for studies with more than one measure, time point and analysis type or when there is more than one definition of diagnostic change or clinically meaningful change.

The Other Outcomes dataset includes information on whether the trial includes measures of depression, anxiety, substance use, sleep, anger, quality of life and functioning. Results in this dataset are provided for each treatment arm. The name of the measure is included as well as the between-group effect sizes. Use this dataset to learn how about the effects of PTSD treatments on other outcomes.
Values abstracted as not applicable ("NA") or not reported ("NR") from the study are null values (empty cells).
Study level variables, like military status and percent female, are included for ease of filtering. These columns are not individual arm or arm comparison level data.

Each study in the PTSD-Repository was coded for risk of bias (ROB) in specific domains as well as an overall risk of bias for the study. Detailed information about the specific coding strategy is available in Comparative Effectiveness Review [CER] No. 207, Psychological and Pharmacological Treatments for Adults with Posttraumatic Stress Disorder. (See our "Risk of Bias" data story.)
Most domains were rated as Yes (i.e., minimal risk of bias), No (i.e., high risk of bias) or Unclear (i.e., bias could not be determined). The overall study rating is based on the domains and is coded as low, medium or high risk of bias. The 4 domains that were included as components of the overall rating include: Selection bias--randomization adequate, allocation concealment adequate, groups similar at baseline and whether they used intention to treat analyses; Performance bias--care providers masked and patients masked; Detection bias--outcome assessors masked; Attrition bias--overall attrition less than or equal to 20% vs over 20%; differential attrition less than or equal to 15% vs over 15%.
Additional items assessed (but not considered as part of the overall rating) include: Reporting bias--all prespecified outcomes reported; Reporting bias--method for handling dropouts; Outcome measures equal valid and reliable; Study reports adequate treatment fidelity based on measurements by independent raters.

This dataset provides within-arm results for continuous measures. Included is information on score means and variance, and pre-post comparisons (pre-post score difference, statistical test p-value, and study-reported effect sizes). Where possible, the within-arm standardized effect size (analog of Cohen’s d) was calculated. For the calculated effect size, negative values indicate a lower score at follow-up compared to baseline, while positive values indicate a higher score at follow-up. Each treatment arm is presented on its own row. There are also separate rows for studies with more than one measure, time point and analysis type.

This dataset provides between-arm results for dichotomous outcomes: loss of diagnosis and clinically meaningful response. Included is information on how loss of diagnosis and clinically meaningful response were defined, p-value for statistical test, and study-reported effect sizes.

Each comparison is on a separate row, and pairwise as well as omnibus (multi-arm) comparisons are included. There are also separate rows for studies with more than one measure, time point and analysis type or when there is with more than one definition of diagnostic change or clinically meaningful change.

The Harms dataset includes information on serious adverse events and participant withdrawals from the studies due to adverse events. Adverse events are reported as the percent of participants within a treatment group that experienced an adverse event or who withdrew from the study. Detail on the specific adverse event or reason for withdrawal is provided when available. This dataset also reports on the percentage of patients who attempted or completed suicide (when available).
Values abstracted as "NA" or "NR" from the study are represented as null values/empty cells in this dataset.
Study level variables like military status and percent female are included for filtering purposes