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精神分裂谱系障碍患者预后预测因素的系统评价和荟萃分析:对当前证据的概述以及对前瞻性研究和数据集开放获取的呼吁。

Systematic review and meta-analysis on predictors of prognosis in patients with schizophrenia spectrum disorders: An overview of current evidence and a call for prospective research and open access to datasets.

机构信息

Department of Psychiatry, Brain Center, University Medical Center Utrecht, the Netherlands.

出版信息

Schizophr Res. 2023 Apr;254:133-142. doi: 10.1016/j.schres.2023.02.024. Epub 2023 Feb 28.

Abstract

BACKGROUND

Schizophrenia spectrum disorders (SSD) have heterogeneous outcomes. If we could predict individual outcome and identify predictors of outcome, we could personalize and optimize treatment and care. Recent research showed that recovery rates tend to stabilize early in the course of disease. Short- to medium- term treatment goals are most relevant for clinical practice.

METHODS

We performed a systematic review and meta-analysis to identify predictors of outcome ≤1 year in prospective studies of patients with SSD. For our meta-analysis risk of bias was assessed with the QUIPS tool.

RESULTS

178 studies were included for analysis. Our systematic review and meta-analysis showed that the chance of symptomatic remission was lower in males, and in patients with longer duration of untreated psychosis, more symptoms, worse global functioning, more previous hospital admissions and worse treatment adherence. The chance of readmission was higher for patients with more previous admissions. The chance of functional improvement was lower in patients with worse functioning at baseline. For other proposed predictors of outcome, like age at onset and depressive symptoms, limited to no evidence was found.

DISCUSSION

This study illuminates predictors of outcome of SSD. Level of functioning at baseline was the best predictor of all investigated outcomes. Furthermore, we found no evidence for many predictors proposed in original research. Possible reasons for this include the lack of prospective research, between-study heterogeneity and incomplete reporting. We therefore recommend open access to datasets and analysis scripts, enabling other researchers to reanalyze and pool the data.

摘要

背景

精神分裂症谱系障碍(SSD)的结局存在异质性。如果我们能够预测个体的结局并识别结局的预测因素,我们就可以实现个体化和优化治疗及护理。最近的研究表明,恢复率在疾病早期趋于稳定。因此,短期至中期的治疗目标与临床实践最为相关。

方法

我们进行了系统评价和荟萃分析,以确定 SSD 患者前瞻性研究中≤1 年结局的预测因素。我们使用 QUIPS 工具评估了偏倚风险。

结果

共纳入了 178 项研究进行分析。我们的系统评价和荟萃分析表明,男性、未治疗精神病持续时间较长、症状较多、总体功能较差、既往住院次数较多和治疗依从性较差的患者出现症状缓解的机会较低。既往住院次数较多的患者再次入院的机会较高。基线功能较差的患者功能改善的机会较低。对于其他提出的结局预测因素,如发病年龄和抑郁症状,目前仅有限的证据支持。

讨论

本研究阐明了 SSD 结局的预测因素。基线时的功能水平是所有研究结果中最好的预测因素。此外,我们没有发现许多原始研究中提出的预测因素的证据。出现这种情况的可能原因包括前瞻性研究不足、研究间异质性和报告不完整。因此,我们建议开放数据集和分析脚本,使其他研究人员能够重新分析和汇总数据。

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