| Literature DB >> 35656574 |
Ulrich Wesemann1, Briana Applewhite2, Hubertus Himmerich2.
Abstract
BACKGROUND: Terrorist attacks have strong psychological effects on rescue workers, and there is a demand for effective and targeted interventions. AIMS: The present systematic review aims to examine the mental health outcomes of exposed emergency service personnel over time, and to identify risk and resilience factors.Entities:
Keywords: Systematic review; emergency service personnel; mental health; post-traumatic stress disorder; terrorist attack
Year: 2022 PMID: 35656574 PMCID: PMC9230690 DOI: 10.1192/bjo.2022.69
Source DB: PubMed Journal: BJPsych Open ISSN: 2056-4724
Characteristics of the included studies that report on the mental health of emergency responders after terrorist attacks
| Author | Sample size, occupational group and demographics | Study design and time after incident | Research methods | Outcome | Comments |
|---|---|---|---|---|---|
| Biggs et al, 2010[ | 90 disaster workers, 75.6% male, mean age 35.6 years, 83.3% White, 77.7% college degree or higher, 56.7% married | Cross-sectional cohort study without control group; 2–3 weeks after the 9/11 WTC attacks | Survey and questionnaires: Zung Self-Rating Depression Scale; SF-8 Health Survey; THQ; PDEQ | ASD (questionnaire): 14.6%; depression (questionnaire): 25.8%; high impairment: 33.3%; one or more symptoms of peritraumatic dissociation: 83.3% | Occupational groups not specified further, 10.9% with comorbid depression and ASD; tobacco users: 37.9–33.3% with ASD |
| Bowler et al, 2010[ | 4017 police officers, 85% male, 70.4% White, 99% high school or higher, 67.9% married | Cross-sectional study without control group; 2–3 years after the 9/11 WTC attacks | Questionnaires: PCL | PTSD: 7.8%; gender differences in PTSD: women 13.9%, men 7.4% | General risk factors: event related injury, older age; for men: proximity to event, Hispanic ethnicity; for women: witnessing horror, education less than college degree |
| Bowler et al, 2012[ | 2940 police officers, 86.0% male, 73.9% White, 99% high school or higher, 74.1% married | Longitudinal study without control group; 2–3 years and 5–6 years after the 9/11 WTC attacks | Questionnaires: PCL | PTSD increased significantly to 16.5% | PTSD: no more gender-specific differences in wave 2, but still more intrusive symptoms in women; general: emotionally numb 6.7% in wave 1 to 15.6% in wave 2 |
| Bowler et al, 2016[ | 1884 police officers, 76.9% male, mean age 37.9 years, Hispanic ethnicity 14.1% | Longitudinal study without control group; 2–3, 5–6 and 9–10 years after the 9/11 WTC attacks | Questionnaires: PCL, PHQ-8, GAD-7 | PTSD (12.9%); comorbidities: none (21.8%), depression (24.7%), anxiety (5.8%), both (47.7%) | PTSD with depression and anxiety, significantly more days with impaired mental health |
| Chen et al, 2020[ | 2029 police officers | Cross-sectional study without control group; 11–13 years after the 9/11 WTC attacks | Web-based survey | PTSD (9.3%) and (17.5%) PTSS (PCL-S) | Risk factors for PTSS: post-9/11 medical comorbidities, traumatic events |
| Chiu et al, 2011[ | 1915 retired male firefighters, mean age 47.5 years, 100% high school or higher, 83.3% married | Cross-sectional study without control group 4–7 years after the 9/11 WTC attacks | Structured diagnostic interview and questionnaires: DIS, PCL | 6% PTSD | Retirement because of WTC-related disability ≥64%; 50% decrease in the likelihood of retirement because of a disability with each increase in age of 10 years |
| Cone et al, 2015[ | 2204 police officers, 86.6% male, mean age 38 years, 74.7% non-Hispanic White | Cross-sectional study without control group; 9–10 years after the 9/11 WTC attacks | Interview (not specified); questionnaires: PCL | PTSD (questionnaire: 11.0%); gender differences in PTSD: women 15.5%, men 10.3% | Correlation PTSD and lower social support; prevalence of PTSD increased with the number of life stressors in the past 12 months (waves 1 and 2 were not evaluated) |
| dePierro et al, 2021[ | 6777 police officers, 84% male, 39% non-Hispanic White (28% missing data), 19% Hispanic, 10% non-Hispanic Black, 99% high school or higher, 66% married or partnered | Cross-sectional study without control group; average 5 years after the 9/11 WTC attacks | Unstandardised interview and questionnaires: PCL-S, PHQ-9, CAGE | Less stigma in police officers compared with non-traditional responders (24.8 | Mental disorder (17.4%); ‘I want to handle it myself’ was the most common reason for reluctance to seek help |
| Diab et al, 2020[ | 8881 police officers, 84.1% male, mean age 42.6 years, 55.2% non-Hispanic White, 25.6% Hispanic, 13.3% non-Hispanic Black, 98.9% more than high school education, 62.7% married or partnered | Cross-sectional study without control group; average 6.5 years after the 9/11 WTC attacks | Interview and questionnaires: PCL-S, PHQ-9, CAGE, SDS | 20.6% need for mental healthcare (first annual health-monitoring visit with the WTC Health Program) | ‘factors [ … ] associated with any perceived mental health service need were older age, female gender, diagnosis of depression/anxiety/PTSD before 9/11, positive screens for WTC-related PTSD, depression, and alcohol use problems, count of somatic diagnoses, and higher SDS score and more life stressors post 9/11’ |
| Dowling et al, 2006[ | 28 232 notes from consultations of police officers | Retrospective cross-sectional study without control group 1–2 years after the 9/11 WTC attacks | Unstructured interview by paraprofessionals | Behavioural problems (34%), emotional problems (56%), physical problems (51%), cognitive problems (27%) | Evidence ‘that peer officers can be used effectively to assist police officers with post-disaster stress’ |
| Feder et al 2016[ | 1874 police officers, 85.4% male, mean age 41.7 years, 68.1% non-Hispanic White, 20.0% Hispanic, 9.4% non-Hispanic Black, 83.9% more than high school education, 73.9% married or partnered | Longitudinal study without control group; 3, 6, 8 and 12 years after the 9/11 WTC attacks | Questionnaires: PCL-S health monitoring visit with the WTC Health Program | Four trajectories for PTSD symptoms: no/low symptoms (76.1%), worsening (12.1%), improvement (7.5%) and chronic (4.4%) | ‘Positive emotion focused coping as well as current treatment were associated with the no/low symptom trajectory’ |
| Gabriel et al, 2007[ | 153 police officers (46% of the total sample), 93% male, mean age 36.4 years, 98% Spain as country of origin, 57.5% primary school | Cross-sectional study without control group; 5–12 weeks after the 11 March 2004 terrorist attacks in Madrid | Questionnaires and interviews: DTS, MINI | Any mental disorder (3.9%), PTSD (1.3%), major depression (1.3%), agoraphobia (0.7%), GAD (0.7%), panic disorder (0.7%) | ‘Intrusive ideas were the most frequent symptom’ of PTSD; comorbid mental disorders (2%) |
| Kotov et al, 2015[ | 8466 police officers, 85.3% male, mean age 40.9 years | Cross-sectional study without control group; average of 4 years after the 9/11 WTC attacks and 2.5 years after first assessment | PCL | PTSD 1-month prevalence: wave 1 (6.3%), wave 2 (8.2%) | Same sample as Pietrzak et al, 2012,[ |
| Litcher-Kelly et al, 2014[ | 4035 police officers, 85.3% male, mean age 41.2 years, 67.8% non-Hispanic White, 20.3% Hispanic, non-Hispanic Black 9.8%, 84.0% more than high school education, 73.7% married or partnered | Longitudinal study without control group; 3 and 6 years after the 9/11 WTC attacks | Questionnaires: PCL-S | Psychological distress 3 years after 9/11 WTC predicted gastrointestinal symptoms 6 years after 9/11 | ‘Number of psychological distress symptoms 3–6 years after 9/11 WTC, predict the symptoms of the upper GI [gastrointestinal] 6 years after 9/11 WTC’ |
| Luft et al, 2012[ | 8508 police officers, 85% male, mean age 40.8 years | Cross-sectional study without control group; 4 years after the 9/11 WTC attacks | Questionnaires: PCL | PTSD (5.9%) | No significant correlation between gender and PTSD ( |
| Mazza et al, 2012[ | 20 military police officers with PTSD, mean age 41.1 years | Cross-sectional study with control group; unspecified period after the terrorist attack in April 2006 in An-Nasiriyah, Iraq | Questionnaires and interviews: MSS, DTS, CAPS (DX), Strange Stories Test, Eyes Task, Emotion Attribution Task, Empathy Questionnaire | Only exposed personnel with PTSD were included (67.7%), and were compared with unaffected colleagues (33.3%) | Significantly less emotion recognition and empathy in affected personnel, problems in interpreting other people's mental states and emotions expressed by other individuals by only observing the ocular region |
| McCaslin et al, 2006[ | 166 police officers, 80.7% male, mean age 37.0 years, 52.8% non-Hispanic White, 17.8% Hispanic, 22.7% African American, 100% high school or higher, 59.3% married | Cross-sectional study without control group; short time after the 9/11 WTC attacks | Questionnaires and interviews: WEI, SOS, CAPS, PDEQ, PDI, LSC-R, TAS-20, PCL-C | Correlation with alexithymia and CAPS score ( | Best predictors for PTSD symptoms were lack of social desirability, alexithymia, work environment stress, lack of social support, peritraumatic distress and peritraumatic dissociation |
| Motreff et al, 2020[ | 95 police officers, 203 firefighters, 229 health professionals, 134 NGO personnel; 62.0% male, mean age 37.5 years, 91.4% high school or higher | Cross-sectional study without control group; 8–12 months after the 13 November 2015 terrorist attacks in Paris | Questionnaires: WEI | Spatial and timely proximity to event (on unsecured crime scenes) increased PTSD risk (odds ratio 7.26); PTSD to PTSS prevalence: firefighters (3.4–15.7%), health professionals (4.4–10.4%), NGO personnel (4.5–19.4%), police officers (9.5–23.2%) | Increased risk for PTSD: female gender (odds ratio 1.3), no specific training (odds ratio 4.88), critical life events 1 year before (odds ratio 1.7), social isolation (odds ratio 8.4) |
| Perrin et al, 2007[ | 3925 police officers, 3232 firefighters, 1741 emergency medical services personnel, 5438 NGO personnel | Cross-sectional study without control group; 2–3 years after the 9/11 WTC attacks | Questionnaires: PCL-C | PTSD prevalence: police (7.2%), firefighters (14.3%), emergency medical services personnel (14.1%), NGO workers (8.4%) (PCL) | Maintaining an injury was the top risk factor for PTSD among firefighters, emergency services personnel and NGO workers |
| Pietrzak et al, 2014[ | 4035 police officers, 85.3% male, mean age 41.2 years, 67.8% non-Hispanic White, 20.3% Hispanic, non-Hispanic Black 9.8%, 84.0% more than high school education, 73.7% married or partnered | Longitudinal study without control group; 3, 6 and 8 years after the 9/11 WTC attacks | Questionnaires and interviews (as part of the health monitoring visit with the WTC Health Program): PCL-S, DIS | Four trajectories for PTSD symptoms: no/low symptoms (77.8%), worsening (8.5%), improvement (8.4%) and chronic (5.3%) | Risk factors for the severe chronic trajectory: ‘exposed to human remains, somatic injury/illness when at worksite, known someone injured there, traumatic death of college, friend or family member’ |
| Pietrzak et al, 2014[ | 4035 police officers, 85.3% male, mean age 41.2 years, 67.8% non-Hispanic White, 20.3% Hispanic, non-Hispanic Black 9.8%, 84.0% more than high school education, 73.7% married or partnered | Longitudinal study without control group; 3, 6 and 8 years after the 9/11 WTC attacks | Questionnaires and interviews (as part of the health monitoring visit with the WTC Health Program): PCL-S, DIS | Five stable symptom clusters best represent PTSD symptom dimensionality in police officers | |
| Pietrzak et al, 2012[ | 8466 police officers, 85.2% male, mean age 49 years, 48.3% non-Hispanic White, 32.7% Hispanic, non-Hispanic Black 8.7%, 99.6% high school or higher, 71.3% married or partnered | Cross-sectional study without control group; average of 4 years after the 9/11 WTC attacks | Questionnaires and interviews (as part of the health monitoring visit with the WTC Health Program): PCL-S, DIS, PHQ-9, PHQ, CAGE, SDS, GHQ | One month prevalence of PTSD (5.4%) and PTSS (15.4%) | Risk factors for PTSD and PTSS: ‘older age, total number of exposures, exposed to human remains, early use on site, caught in dust cloud, early involved in search/rescue, lost someone, known someone who suffered injury, number of stressors before and after incident’ |
| Schwarzer et al, 2014[ | 2943 police officers, 86.0% male, 73.9% White, 99% high school or higher, 74.1% married | Longitudinal study without control group; 1–2 and 6–7 years after the 9/11 WTC attacks | Questionnaires and interviews: PCL-C | Proximity to event as predictor to post-traumatic stress response | Social integration as resilience factor to stress |
| Schwarzer et al, 2016[ | 2204 police officers, 86.6% male, mean age 38 years, 74.7% non-Hispanic White | Longitudinal study without control group; 1–2, 6–7 and 9–10 years after the 9/11 WTC attacks | Questionnaires and interviews: PCL-C, MSSS | Exposure was correlated with symptoms (PTSD and stress) over time | The maximum mean symptom values are in wave 2; symptoms were negatively related to emotional support in wave 3 |
| Vandentorren et al, 2018[ | 44 medical rescue workers, 60 firefighters, 56 police officers; 69% male, median age 36 years, 97.2% high school or higher, 62% married or partnered | Longitudinal study without control group; 6 and 18 months after the terror attacks in January 2015 in Paris | Questionnaires and face-to-face structured interviews: STRS, PDEQ, Sheehan Scale, MINI, PCL-S, CGI | PTSD prevalence (3% clinical interview); 8%, PCL-S), minimum of one anxiety disorder (14%); unable to work at some point since the attacks (half year; 6%, interview); increase alcohol, tobacco or cannabis use (9%, interview) | ‘51% benefited from psychological support provided by their own institution’; seeking non-psychological healthcare since attacks (20%), with over 20% of them seeing a relationship to the incidents |
| Wesemann et al, 2020[ | 24 firefighters, 10 police officers, 13 NGO workers, 13 psychosocial workers; 70.0% male, 1.7% transgender; mean age 40 years, 14.4 mean years of service | Longitudinal study with control group; 3–4 month and 2 years after the terror attack in Berlin Breitscheidplatz, 2016 | Questionnaire: BSI | More paranoid ideation in female responders at both time points; not found in controls | ‘Paranoid ideation increased significantly over time in exposed female personnel’ compared with controls and male personnel; confirmation study for the 2016 study |
| Wesemann et al, 2020[ | 24 firefighters, 10 police officers, 13 NGO workers, 13 psychosocial workers; 70.0% male, 28.3% female, 1.7% transgender; mean age 40 years, 14.4 mean years of service | Longitudinal study with control group; 3–4 month and 2 years after the terror attack in Berlin Breitscheidplatz, 2016 | Questionnaire: WHOQOL-BREF, BSI | More hostility in police officers at both time points compared with controls; less environmental quality of life in firefighters at both time points compared with controls | Physical quality of life of the firefighters was no longer impaired 2 years after the incident; confirmation study for the 2016 study |
| Wesemann et al, 2018[ | 16 firefighters, 6 police officers, 6 psychosocial workers; 70% male, mean age 42.8 years, 97.3% high school or higher, 61.7% married or partnered | Cross-sectional study without control group; 3 months after the terror attack in Berlin Breitscheidplatz, 2016 | Questionnaire: PHQ, WHOQOL-BREF, BSI | More stress and paranoid ideation in female responders; less environmental and physical quality of life in firefighters, more hostility in police officers | |
| Wisnivesky et al, 2011[ | 12 273 protective services or military, 86% male, median age 38 years, 57% non-Hispanic White, 31% Hispanic, non-Hispanic Black 11%, 99.6% high school or higher, 71.3% married or partnered | Longitudinal study without control group; yearly 1–9 years after the 9/11 WTC attacks | Questionnaires and interviews: PHQ, PCL-S, | Cumulative incidence of depression (7.0%), PTSD (9.3%) and panic disorder (8.4%) | Steady yearly increase in the incidence rates from year 1 to year 9 for depression (1.7 to 7.0%), PTSD (2.5 to 9.3%) and panic disorder (2.3 to 8.4%) |
| Wyka et al, 2020[ | 12 398 rescue/recovery forces not further specified (police officers, firefighters, emergency medical, technicians, sanitation workers and volunteers); 79.2% male, 45.1% aged >42 years, 80.3% non-Hispanic White, 44.4% college degree or higher | Longitudinal study without control group; 2–3, 5–6 and 9–10 years after the 9/11 WTC attacks | Questionnaires: PCL | PTSD wave 1 (19.6%), wave 2 (18.2%) and wave 3 (16.7%) | |
| Zvolensky et al, 2015[ | 8466 police officers, 85.3% male, mean age 37.1 years, 20.7% Hispanic, 20.6% non-Hispanic Black | Longitudinal study without control group; 1–9 years after the 9/11 WTC attacks and an average of 2.5 years after first assessment | Questionnaires: PCL, SDS | Greater initial disaster exposure lead to more PTSS and decreased overall functioning over time | ‘Post-disaster life stressors moderated the negative effects. These effects were not found in non-traditional WTC-responders’ |
| Zvolensky et al, 2015[ | 763 (ex-) smoking police officers, 78.9% male, mean age 37.3 years | Longitudinal study without control group; 1–9, years after the 9/11 WTC attacks and an average of 2.5 years after first assessment | Questionnaires and interviews: PCL-S | Higher levels of PTSS at wave 1 were associated with a decreased likelihood of smoking abstinence and with decreased smoking reduction at wave 2 | ‘Hyperarousal PTSD symptoms were predictive of decreased abstinence likelihood at wave 2’ |
| Zvolensky et al, 2015[ | 8466 police officers, 5.3% male, mean age 37.1 years, 20.7% Hispanic, non-Hispanic Black 20.6% | Longitudinal study without control group; 1–9, years after the 9/11 WTC attacks and an average of 2.5 years after first assessment | Questionnaires and interviews: PCL-S, PHQ-9, SDS | Post-traumatic stress, depressive symptoms and overall functioning were stable over the follow-up period | Post-event job-loss, layoff or substantial loss of income (11.3%), change in living arrangements (17.3%), legal problems (4.0%), arrested (0.6%) |
All studies have a naturalistic design (terrorist attack). WTC, World Trade Center; SF-8 Health Survey, Short-Form health-related quality of life; THQ, Trauma History Questionnaire; PDEQ, Peritraumatic Dissociative Experiences Questionnaire; ASD, acute stress disorder; PCL, PTSD Checklist; PTSD, post-traumatic stress disorder; PTSS, post-traumatic stress smptoms; PHQ-8, Patient Health Questionnaire-8 depression scale; GAD-7, Generalised Anxiety Disorder scale; PCL-S, PTSD Checklist-Specific Stressor version; DIS, Diagnostic Interview Schedule; PHQ-9, Patient Health Questionnaire-9 depression scale; CAGE, cut-annoyed-guilty-eye (alcohol); SDS, Sheehan Disability Scale; DTS, Davidson Trauma Scale; MINI, Mini International Neuropsychiatric Interview; GAD, generalised anxiety disorder; MSS, Mississippi Scale; CAPS, Clinically Administered PTSD Scale; WEI, Work Environment Inventory; SOS, Sources of Support Scale; PDI, Peritraumatic Distress Inventory; LSC-R, Life Stressor Checklist-Revised; TAS-20, Toronto Alexithymia Scale; PCL-C Posttraumatic Stress Checklist-Civilian Version; NGO, nongovernmental organisation; GHQ, General Health Questionnaire; MSSS, Modified Social Support Survey; STRS, Shortness of Breath, Tremulousness, Racing heart and Sweating scale; CGI, Clinical Global Impression questionnaire; BSI, Brief Symptom Inventory; WHOQOL-BREF, World Health Organisation Quality of Life.
Quality assessment of the included studies according to the Quality Assessment Tool for Quantitative Studies
| Reference | Name | A | B | U/D | C | D | E | F | G | GN |
|---|---|---|---|---|---|---|---|---|---|---|
| 31 | Biggs et al, 2010 | 2 | 3 | 3 | 2 | 1 | ./. | 2 | 2 | |
| 32 | Bowler et al, 2010 | 2 | 3 | 2 | 1 | 1 | ./. | 2 | 1 | |
| 33 | Bowler et al, 2012 | 2 | 3 | 2 | 1 | 1 | 2 | 2 | 2 | |
| 34 | Bowler et al, 2016 | 2 | 3 | 2 | 1 | 1 | 3 | 3 | 2 | |
| 35 | Chen et al, 2020 | 3 | 3 | 2 | 2 | 2 | ./. | 3 | 2 | |
| 36 | Chiu et al, 2011 | 2 | 3 | 2 | 1 | 1 | ./. | 2 | 1 | |
| 37 | Cone et al, 2015 | 3 | 3 | 2 | 1 | 1 | ./. | 3 | 2 | |
| 38 | dePierro et al, 2021 | 2 | 3 | 2 | 2 | 2 | ./. | 2 | 1 | |
| 39 | Diab et al, 2020 | 2 | 3 | 2 | 2 | 1 | ./. | 2 | 1 | |
| 40 | Dowling et al, 2006 | 3 | 3 | 3 | 2 | 3 | ./. | 3 | 3 | |
| 41 | Feder et al, 2016 | 2 | 3 | 2 | 1 | 1 | 2 | 2 | 1 | |
| 42 | Gabriel et al, 2007 | 3 | 3 | 2 | 1 | 1 | ./. | 3 | 2 | |
| 43 | Kotov et al, 2015 | 2 | 3 | 2 | 1 | 1 | ./. | 2 | 2 | |
| 44 | Litcher-Kelly et al, 2014 | 2 | 3 | 3 | 2 | 1 | 2 | 2 | 2 | |
| 45 | Luft et al, 2012 | 2 | 3 | 3 | 2 | 1 | ./. | 2 | 2 | |
| 46 | Mazza et al, 2012 | 3 | 2 | 2 | 3 | 1 | ./. | 3 | 3 | |
| 47 | McCaslin et al, 2006 | 3 | 3 | 3 | 1 | 1 | ./. | 3 | 3 | |
| 21 | Motreff et al, 2020 | 2 | 3 | 2 | 1 | 1 | ./. | 2 | 1 | |
| 48 | Perrin et al, 2007 | 2 | 3 | 2 | 1 | 1 | ./. | 2 | 1 | |
| 49 | Pietrzak et al, 2014 | 2 | 3 | 2 | 2 | 1 | 3 | 3 | 2 | |
| 50 | Pietrzak et al, 2014 | 3 | 3 | 2 | 2 | 1 | 3 | 3 | 2 | |
| 51 | Pietrzak et al, 2012 | 2 | 3 | 2 | 2 | 1 | 2 | 2 | 1 | |
| 52 | Schwarzer et al, 2014 | 2 | 3 | 2 | 1 | 1 | 2 | 2 | 1 | |
| 53 | Schwarzer et al, 2016 | 2 | 3 | 3 | 1 | 1 | 2 | 2 | 2 | |
| 54 | Vandentorren et al, 2018 | 2 | 3 | 2 | 1 | 1 | ./. | 2 | 1 | |
| 13 | Wesemann et al, 2020 | 3 | 2 | 2 | 1 | 1 | 2 | 2 | 2 | |
| 55 | Wesemann et al, 2020 | 3 | 2 | 2 | 1 | 1 | 2 | 2 | 2 | |
| 56 | Wesemann et al, 2018 | 3 | 3 | 2 | 1 | 1 | ./. | 3 | 2 | |
| 57 | Wisnivesky et al, 2011 | 1 | 3 | 3 | 1 | 1 | 2 | 2 | 2 | |
| 58 | Wyka et al, 2020 | 1 | 3 | 3 | 1 | 1 | 2 | 2 | 2 | |
| 59 | Zvolensky et al, 2015 | 1 | 3 | 2 | 1 | 1 | 2 | 2 | 1 | |
| 60 | Zvolensky et al, 2015 | 2 | 3 | 3 | 1 | 1 | 2 | 2 | 2 | |
| 61 | Zvolensky et al, 2015 | 1 | 3 | 3 | 1 | 1 | 2 | 2 | 2 |
A, selection bias; B, study design; U/D, upgrade/downgrade study design; C, confounders; D, blinding (not applicable); E, data collection; F, drop-out; ./., no data available or not applicable due to study design; G, global assessment; GN, global assessment after upgrade/downgrade (1, strong; 2, moderate; 3, weak); GN: 1 = no weak rating; 2 = one weak rating; 3 = two or more weak ratings.
Fig. 1Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram.