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PLEASE NOTE: If you are a Cochrane author, you have free access to RevMan while you are writing a Cochrane review and do not need a subscription. If you are a Cochrane author and you want to use ...
How accurate is the 'HADS-A' questionnaire in detecting anxiety disorders in adults?
In general, none of the interventions reliably improved adherence to amblyopia treatment (specifically patching) in children. The interventions investigated also showed no evidence of improvement in ...
• In women with predicted high response (meaning their ovaries are expected to produce many eggs in response to stimulation, which increases the risk of complications such as OHSS), using human ...
Premature babies often need help breathing as their lungs are not fully developed. Nasal breathing support (through the nose) helps premature babies breathe without the need for breathing tubes in the ...
Phosphate binders are often prescribed with meals for people with kidney disease to reduce the uptake of phosphate in food.
• Compared to placebo (an inactive or 'dummy' medication), zuranolone probably helps more women by reducing their depression symptoms, but also increases the number of harmful, unwanted events they ...
How accurate are low-complexity manual nucleic acid amplification tests for detecting pulmonary tuberculosis in children? - There is limited evidence that LC-mNAATs can correctly identify pulmonary ...
เราแปลหลักฐาน Cochrane เพื่อช่วยให้ผู้คนทั่วโลกตัดสินใจด้านสุขภาพโดยอิงตามหลักฐาน มีเพียงร้อยละ 6 ของคนในโลกเท่านั้นที่พูดภาษาอังกฤษเป็นภาษาแรก 75% ของประชากรโลกไม่พูดภาษาอังกฤษเลย ...
Review question What are the benefits and risks of using medication known as gonadotropin-releasing hormone (GnRH) agonists and antagonists in the management of premenstrual syndrome (PMS)? Key ...
How accurate are Truenat assays for detecting pulmonary tuberculosis and rifampicin resistance? On World TB Day, we highlight findings from a new review assessing the accuracy of Truenat assays for ...
Data extraction in evidence synthesis is labour-intensive, costly, and prone to errors. The use of large language models (LLMs) presents a promising approach for AI-assisted data extraction, ...