ObjectiveTo compare the effects of treatments for coronavirus disease 2019 (covid-19).DesignLiving systematic review and network meta-analysis.Data sourcesUS Centers for Disease Control and Prevention COVID-19 Research Articles Downloadable Database, which includes 25 electronic databases and six additional Chinese databases to 20 July 2020.Study selectionRandomised clinical trials in which people with suspected, probable, or confirmed covid-19 were randomised to drug treatment or to standard care or placebo. Pairs of reviewers independently screened potentially eligible articles.MethodsAfter duplicate data abstraction, a bayesian random effects network meta-analysis was conducted. Risk of bias of the included studies was assessed using a modification of the Cochrane risk of bias 2.0 tool, and the certainty of the evidence using the grading of recommendations assessment, development and evaluation (GRADE) approach. For each outcome, interventions were classified in groups from the most to the least beneficial or harmful following GRADE guidance.Results23 randomised controlled trials were included in the analysis performed on 26 June 2020. The certainty of the evidence for most comparisons was very low because of risk of bias (lack of blinding) and serious imprecision. Glucocorticoids were the only intervention with evidence for a reduction in death compared with standard care (risk difference 37 fewer per 1000 patients, 95% credible interval 63 fewer to 11 fewer, moderate certainty) and mechanical ventilation (31 fewer per 1000 patients, 47 fewer to 9 fewer, moderate certainty). These estimates are based on direct evidence; network estimates for glucocorticoids compared with standard care were less precise because of network heterogeneity. Three drugs might reduce symptom duration compared with standard care: hydroxychloroquine (mean difference −4.5 days, low certainty), remdesivir (−2.6 days, moderate certainty), and lopinavir-ritonavir (−1.2 days, low certainty). Hydroxychloroquine might increase the risk of adverse events compared with the other interventions, and remdesivir probably does not substantially increase the risk of adverse effects leading to drug discontinuation. No other interventions included enough patients to meaningfully interpret adverse effects leading to drug discontinuation.ConclusionGlucocorticoids probably reduce mortality and mechanical ventilation in patients with covid-19 compared with standard care. The effectiveness of most interventions is uncertain because most of the randomised controlled trials so far have been small and have important study limitations.Systematic review registrationThis review was not registered. The protocol is included as a supplement.Readers’ noteThis article is a living systematic review that will be updated to reflect emerging evidence. Updates may occur for up to two years from the date of original publication.

KEY POINTS• We recommend optimization of nonopioid pharmacotherapy and nonpharmacologic therapy, rather than a trial of opioids, for patients with chronic noncancer pain.

Background Literature searches underlie the foundations of systematic reviews and related review types. Yet, the literature searching component of systematic reviews and related review types is often poorly reported. Guidance for literature search reporting has been diverse, and, in many cases, does not offer enough detail to authors who need more specific information about reporting search methods and information sources in a clear, reproducible way. This document presents the PRISMA-S (Preferred Reporting Items for Systematic reviews and Meta-Analyses literature search extension) checklist, and explanation and elaboration. Methods The checklist was developed using a 3-stage Delphi survey process, followed by a consensus conference and public review process. Results The final checklist includes 16 reporting items, each of which is detailed with exemplar reporting and rationale. Conclusions The intent of PRISMA-S is to complement the PRISMA Statement and its extensions by providing a checklist that could be used by interdisciplinary authors, editors, and peer reviewers to verify that each component of a search is completely reported and therefore reproducible.

D espite a 10-year survival rate of 83%, 1,2 between 25% and 60% of surviving patients who have undergone surgery for breast cancer experience persistent postsurgical pain, [3][4][5][6][7][8][9] which is associated with reduced quality of life and functional impairment. [10][11][12][13] Systematic reviews summarizing proposed risk factors for persistent pain after breast cancer surgery -including demographic, intraoperative and postoperative factors -have had several limitations, including outdated searches, inadequate attention to risk-of-bias assessment, lack of statistical pooling of measures of association and failure to evaluate the quality of evidence.5,10-14 We conducted a systematic review and meta-analysis of observational studies to identify risk factors for persistent pain after breast cancer surgery, addressing the limitations of previous reviews. MethodsWe completed our systematic review in accordance with the MOOSE statement 15 and registered our protocol with PROSPERO (registration CRD42014013338). Background: Persistent pain after breast cancer surgery affects up to 60% of patients. Early identification of those at higher risk could help inform optimal management. We conducted a systematic review and meta-analysis of observational studies to explore factors associated with persistent pain among women who have undergone surgery for breast cancer. Predictors of persistent pain after breast cancer surgery: a systematic review and meta-analysis of observational studies

IMPORTANCE Harms and benefits of opioids for chronic noncancer pain remain unclear. OBJECTIVE To systematically review randomized clinical trials (RCTs) of opioids for chronic noncancer pain. DATA SOURCES AND STUDY SELECTION The databases of CENTRAL, CINAHL, EMBASE, MEDLINE, AMED, and PsycINFO were searched from inception to April 2018 for RCTs of opioids for chronic noncancer pain vs any nonopioid control. DATA EXTRACTION AND SYNTHESIS Paired reviewers independently extracted data. The analyses used random-effects models and the Grading of Recommendations Assessment, Development and Evaluation to rate the quality of the evidence. MAIN OUTCOMES AND MEASURES The primary outcomes were pain intensity (score range, 0-10 cm on a visual analog scale for pain; lower is better and the minimally important difference [MID] is 1 cm), physical functioning (score range, 0-100 points on the 36-item Short Form physical component score [SF-36 PCS]; higher is better and the MID is 5 points), and incidence of vomiting. RESULTS Ninety-six RCTs including 26 169 participants (61% female; median age, 58 years [interquartile range, 51-61 years]) were included. Of the included studies, there were 25 trials of neuropathic pain, 32 trials of nociceptive pain, 33 trials of central sensitization (pain present in the absence of tissue damage), and 6 trials of mixed types of pain. Compared with placebo, opioid use was associated with reduced pain (weighted mean difference [WMD], −0.69 cm [95% CI, −0.82 to −0.56 cm] on a 10-cm visual analog scale for pain; modeled risk difference for achieving the MID, 11.9% [95% CI, 9.7% to 14.1%]), improved physical functioning (WMD, 2.04 points [95% CI, 1.41 to 2.68 points] on the 100-point SF-36 PCS; modeled risk difference for achieving the MID, 8.5% [95% CI, 5.9% to 11.2%]), and increased vomiting (5.9% with opioids vs 2.3% with placebo for trials that excluded patients with adverse events during a run-in period). Low-to moderate-quality evidence suggested similar associations of opioids with improvements in pain and physical functioning compared with nonsteroidal anti-inflammatory drugs (pain: WMD, −0.60 cm [95% CI, −1.54 to 0.34 cm]; physical functioning: WMD, −0.90 points [95% CI, −2.69 to 0.89 points]), tricyclic antidepressants (pain: WMD, −0.13 cm [95% CI, −0.99 to 0.74 cm]; physical functioning: WMD, −5.31 points [95% CI, −13.77 to 3.14 points]), and anticonvulsants (pain: WMD, −0.90 cm [95% CI, −1.65 to −0.14 cm]; physical functioning: WMD, 0.45 points [95% CI, −5.77 to 6.66 points]). CONCLUSIONS AND RELEVANCE In this meta-analysis of RCTs of patients with chronic noncancer pain, evidence from high-quality studies showed that opioid use was associated with statistically significant but small improvements in pain and physical functioning, and increased risk of vomiting compared with placebo. Comparisons of opioids with nonopioid alternatives suggested that the benefit for pain and functioning may be similar, although the evidence was from studies of only low to moderate quality.

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Purpose We conducted two World Health Organizationcommissioned reviews to inform use of high-flow nasal cannula (HFNC) in patients with coronavirus disease (COVID-19). We synthesized the evidence regarding efficacy and safety (review 1), as well as risks of droplet dispersion, aerosol generation, and associated transmission (review 2) of viral products. Source Literature searches were performed in Ovid MEDLINE, Embase, Web of Science, Chinese databases, and medRxiv. Review 1: we synthesized results from randomized-controlled trials (RCTs) comparing HFNC to conventional oxygen therapy (COT) in critically ill patients with acute hypoxemic respiratory failure. Review 2: we narratively summarized findings from studies evaluating droplet dispersion, aerosol generation, or infection transmission associated with HFNC. For both reviews,

Purpose Breast cancer surgery is associated with unemployment. Identifying high-risk patients could help inform strategies to promote return to work. We systematically reviewed observational studies to explore factors associated with unemployment after breast cancer surgery. Methods We searched MEDLINE, EMBASE, CINAHL, and PsycINFO to identify studies that explored risk factors for unemployment after breast cancer surgery. When possible, we pooled estimates of association for all independent variables reported by more than one study. Results Twenty-six studies (46,927 patients) reported the association of 127 variables with unemployment after breast cancer surgery. Access to universal health care was associated with higher rates of unemployment (26.6% v 15.4%; test of interaction P = .05). High-quality evidence showed that unemployment after breast cancer surgery was associated with high psychological job demands (odds ratio [OR], 4.26; 95% CI, 2.27 to 7.97), childlessness (OR, 1.30; 95% CI, 1.11 to 1.53), lower education level (OR, 1.15; 95% CI, 1.05 to 1.25), lower income level (OR, 1.46; 95% CI, 1.24 to 1.73), cancer stage II, III or IV (OR, 1.43; 95% CI, 1.13 to 1.82), and mastectomy versus breast-conserving surgery (OR, 1.18; 95% CI, 1.07 to 1.30). Moderate-quality evidence suggested an association with high physical job demands (OR, 2.11; 95%CI, 1.52 to 2.93), African-American ethnicity (OR, 1.89; 95% CI, 1.21 to 2.96), and receipt of chemotherapy (OR, 1.95; 95% CI, 1.36 to 2.79). High-quality evidence demonstrated no significant association with part-time hours, blue-collar work, tumor size, positive lymph nodes, or receipt of radiotherapy or endocrine therapy; moderate-quality evidence suggested no association with age, marital status, or axillary lymph node dissection. Conclusion Addressing high physical and psychological job demands may be important in reducing unemployment after breast cancer surgery.