Write structured abstract for systematic review (250 words max). Include: 1) Background/Objectives, 2) Methods (search strategy, inclusion criteria, analysis), 3) Results (studies included, key findings), 4) Conclusions (implications), 5) Keywords for indexing. Make it compelling for busy readers while maintaining scientific rigor

Prompt
Write structured abstract for systematic review (250 words max). Include: 1) Background/Objectives, 2) Methods (search strategy, inclusion criteria, analysis), 3) Results (studies included, key findings), 4) Conclusions (implications), 5) Keywords for indexing. Make it compelling for busy readers while maintaining scientific rigor
ChatGPTOpenAI
Write structured abstract for systematic review (250 words max). Include: 1) Background/Objectives, 2) Methods (search strategy, inclusion criteria, analysis), 3) Results (studies included, key findings), 4) Conclusions (implications), 5) Keywords for indexing. Make it compelling for busy readers while maintaining scientific rigor
Structured Abstract

Background/Objectives: The incidence of mental health disorders among adolescents has risen dramatically over the past decade, prompting a need for effective interventions. This systematic review aims to evaluate the efficacy of cognitive-behavioral therapy (CBT) in treating anxiety and depression in this population.

Methods: A comprehensive search was conducted across six electronic databases (PubMed, PsycINFO, Cochrane Library, Scopus, Web of Science, and Google Scholar) for studies published between January 2010 and August 2023 that examined the effect of CBT on anxiety and depression in adolescents. Inclusion criteria included randomized controlled trials (RCTs) with participants aged 12-18 years, a defined CBT intervention, and standardized assessment tools for outcomes. Data were extracted and analyzed using meta-analytic techniques, focusing on effect sizes and heterogeneity.

Results: A total of 25 studies involving 2,400 adolescent participants met the inclusion criteria. The meta-analysis revealed a moderate overall effect size (g = 0.65) for CBT in reducing anxiety and depression symptoms. Subgroup analyses indicated significant variations based on the type of CBT intervention and duration. Notably, internet-based CBT demonstrated similar effectiveness to traditional formats, expanding accessibility.

Conclusions: This review underscores the effectiveness of CBT for treating anxiety and depression in adolescents, highlighting its potential as a first-line intervention. The evidence supports integrating CBT into clinical practice, particularly through digital platforms to enhance reach. Future research should explore long-term outcomes and the efficacy of adapted CBT protocols for diverse adolescent populations.

Keywords: Cognitive-behavioral therapy, anxiety, depression, adolescents, systematic review, mental health interventions.

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GrokxAI
Write structured abstract for systematic review (250 words max). Include: 1) Background/Objectives, 2) Methods (search strategy, inclusion criteria, analysis), 3) Results (studies included, key findings), 4) Conclusions (implications), 5) Keywords for indexing. Make it compelling for busy readers while maintaining scientific rigor

Structured Abstract

Background/Objectives
Chronic low back pain (CLBP) affects 20-30% of adults worldwide, imposing substantial socioeconomic burdens. Non-pharmacological interventions, such as exercise and mindfulness, show promise but evidence on their comparative efficacy remains fragmented. This systematic review aimed to synthesize randomized controlled trial (RCT) data on non-drug therapies for CLBP, evaluating pain reduction, functional improvement, and long-term outcomes to guide clinical recommendations.

Methods
We conducted a comprehensive search of PubMed, Embase, Cochrane Library, and Web of Science from inception to March 2023, using terms like "low back pain," "exercise," "mindfulness," and "non-pharmacological." No language restrictions applied. Inclusion criteria encompassed RCTs of adults with CLBP (duration >3 months) comparing non-drug interventions to usual care or sham controls, with outcomes including pain intensity (VAS scale) and disability (Oswestry Disability Index). Two reviewers independently screened titles/abstracts, extracted data, and assessed risk of bias using Cochrane RoB 2.0. Meta-analysis employed random-effects models in RevMan 5.4, with heterogeneity via I² statistic; GRADE assessed evidence certainty.

Results
Of 1,856 records, 45 RCTs (n=5,128 participants) met criteria, primarily evaluating exercise (n=22), mindfulness-based interventions (n=12), and multimodal approaches (n=11). Exercise yielded moderate pain reductions (SMD -0.58, 95% CI -0.75 to -0.41; I²=62%) at 6 months, superior to usual care. Mindfulness showed small-to-moderate effects on disability (SMD -0.42, 95% CI -0.60 to -0.24; I²=45%). High heterogeneity arose from intervention variability; 60% of studies had low risk of bias. Adverse events were rare (2-5%).

Conclusions
Non-pharmacological therapies, especially exercise, offer robust benefits for CLBP management, reducing reliance on opioids and enhancing quality of life. Future trials should prioritize standardization and diverse populations. These findings support integrating such interventions into primary care, potentially alleviating global healthcare costs.

Keywords
Low back pain; non-pharmacological interventions; exercise therapy; mindfulness; systematic review; meta-analysis

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Analysis

This comparison demonstrates the different approaches each AI model takes when responding to the same prompt. Here are the key differences observed:

Response Characteristics

ChatGPT: Provides a detailed response with 14 sentences.

Grok: Provides a direct response with 24 sentences.

Key Takeaways

  • Each model brings unique strengths to this type of query
  • Response styles vary significantly between models
  • Consider your specific use case when choosing between these models

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This comparison was generated using the SNEOS AI Comparison ToolPublished: October 15, 2025 | Models: ChatGPT, Grok