Objective: While minimally invasive-transforaminal lumbar interbody fusion (MIS-TLIF) has shown superiority in key clinical metrics over the open approach, evidence regarding patient-reported outcomes remains limited. This study compared postoperative recovery trajectories and symptomatic improvement phases between MIS and open TLIF. Methods: This retrospective review included patients who underwent single-level MIS or open TLIF. Oswestry Disability Index (ODI) and Numerical Rating Scale (NRS) for back and leg pain were collected preoperatively and postoperatively. Segmented regression analysis with mixed-effects modeling, allowing for identification of distinct recovery phases, compared symptomatic trends between approaches. Results: Of 324 patients (268 MIS, 56 open), baseline demographics were similar except for greater preoperative leg pain in the MIS group (NRS: 6.0 vs. 5.0, p = 0.027). A segmented regression model identified 4 ODI recovery phases: postoperative disability phase (PDP, day 0 to 13), early improvement phase (day 13 to 28), late improvement phase (day 28 to 110), and plateau phase (later than day 110). The MIS group exhibited significantly lower disability exacerbation during PDP (β = 0.93 vs. 1.42 points per day, p = 0.008). Additionally, the plateau of NRS back occurred significantly earlier in the MIS group than in the open group (MIS, 26.7 ± 2.6 days vs. open, 51.7 ± 6.6 days, p < 0.001). Conclusion MIS-TLIF resulted in lower postoperative disability during the first 2 weeks compared to the open approach. Furthermore, low back pain achieved an earlier plateau in back pain by about 4 weeks in the MIS approach.

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

Objective: While minimally invasive-transforaminal lumbar interbody fusion (MIS-TLIF) has shown superiority in key clinical metrics over the open approach, evidence regarding patient-reported outcomes remains limited. This study compared postoperative recovery trajectories and symptomatic improvement phases between MIS and open TLIF. Methods: This retrospective review included patients who underwent single-level MIS or open TLIF. Oswestry Disability Index (ODI) and Numerical Rating Scale (NRS) for back and leg pain were collected preoperatively and postoperatively. Segmented regression analysis with mixed-effects modeling, allowing for identification of distinct recovery phases, compared symptomatic trends between approaches. Results: Of 324 patients (268 MIS, 56 open), baseline demographics were similar except for greater preoperative leg pain in the MIS group (NRS: 6.0 vs. 5.0, p = 0.027). A segmented regression model identified 4 ODI recovery phases: postoperative disability phase (PDP, day 0 to 13), early improvement phase (day 13 to 28), late improvement phase (day 28 to 110), and plateau phase (later than day 110). The MIS group exhibited significantly lower disability exacerbation during PDP (β = 0.93 vs. 1.42 points per day, p = 0.008). Additionally, the plateau of NRS back occurred significantly earlier in the MIS group than in the open group (MIS, 26.7 ± 2.6 days vs. open, 51.7 ± 6.6 days, p < 0.001). Conclusion MIS-TLIF resulted in lower postoperative disability during the first 2 weeks compared to the open approach. Furthermore, low back pain achieved an earlier plateau in back pain by about 4 weeks in the MIS approach.

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

Objective: While minimally invasive-transforaminal lumbar interbody fusion (MIS-TLIF) has shown superiority in key clinical metrics over the open approach, evidence regarding patient-reported outcomes remains limited. This study compared postoperative recovery trajectories and symptomatic improvement phases between MIS and open TLIF. Methods: This retrospective review included patients who underwent single-level MIS or open TLIF. Oswestry Disability Index (ODI) and Numerical Rating Scale (NRS) for back and leg pain were collected preoperatively and postoperatively. Segmented regression analysis with mixed-effects modeling, allowing for identification of distinct recovery phases, compared symptomatic trends between approaches. Results: Of 324 patients (268 MIS, 56 open), baseline demographics were similar except for greater preoperative leg pain in the MIS group (NRS: 6.0 vs. 5.0, p = 0.027). A segmented regression model identified 4 ODI recovery phases: postoperative disability phase (PDP, day 0 to 13), early improvement phase (day 13 to 28), late improvement phase (day 28 to 110), and plateau phase (later than day 110). The MIS group exhibited significantly lower disability exacerbation during PDP (β = 0.93 vs. 1.42 points per day, p = 0.008). Additionally, the plateau of NRS back occurred significantly earlier in the MIS group than in the open group (MIS, 26.7 ± 2.6 days vs. open, 51.7 ± 6.6 days, p < 0.001). Conclusion MIS-TLIF resulted in lower postoperative disability during the first 2 weeks compared to the open approach. Furthermore, low back pain achieved an earlier plateau in back pain by about 4 weeks in the MIS approach.

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

Objective: While minimally invasive-transforaminal lumbar interbody fusion (MIS-TLIF) has shown superiority in key clinical metrics over the open approach, evidence regarding patient-reported outcomes remains limited. This study compared postoperative recovery trajectories and symptomatic improvement phases between MIS and open TLIF. Methods: This retrospective review included patients who underwent single-level MIS or open TLIF. Oswestry Disability Index (ODI) and Numerical Rating Scale (NRS) for back and leg pain were collected preoperatively and postoperatively. Segmented regression analysis with mixed-effects modeling, allowing for identification of distinct recovery phases, compared symptomatic trends between approaches. Results: Of 324 patients (268 MIS, 56 open), baseline demographics were similar except for greater preoperative leg pain in the MIS group (NRS: 6.0 vs. 5.0, p = 0.027). A segmented regression model identified 4 ODI recovery phases: postoperative disability phase (PDP, day 0 to 13), early improvement phase (day 13 to 28), late improvement phase (day 28 to 110), and plateau phase (later than day 110). The MIS group exhibited significantly lower disability exacerbation during PDP (β = 0.93 vs. 1.42 points per day, p = 0.008). Additionally, the plateau of NRS back occurred significantly earlier in the MIS group than in the open group (MIS, 26.7 ± 2.6 days vs. open, 51.7 ± 6.6 days, p < 0.001). Conclusion MIS-TLIF resulted in lower postoperative disability during the first 2 weeks compared to the open approach. Furthermore, low back pain achieved an earlier plateau in back pain by about 4 weeks in the MIS approach.

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

Objective: While minimally invasive-transforaminal lumbar interbody fusion (MIS-TLIF) has shown superiority in key clinical metrics over the open approach, evidence regarding patient-reported outcomes remains limited. This study compared postoperative recovery trajectories and symptomatic improvement phases between MIS and open TLIF. Methods: This retrospective review included patients who underwent single-level MIS or open TLIF. Oswestry Disability Index (ODI) and Numerical Rating Scale (NRS) for back and leg pain were collected preoperatively and postoperatively. Segmented regression analysis with mixed-effects modeling, allowing for identification of distinct recovery phases, compared symptomatic trends between approaches. Results: Of 324 patients (268 MIS, 56 open), baseline demographics were similar except for greater preoperative leg pain in the MIS group (NRS: 6.0 vs. 5.0, p = 0.027). A segmented regression model identified 4 ODI recovery phases: postoperative disability phase (PDP, day 0 to 13), early improvement phase (day 13 to 28), late improvement phase (day 28 to 110), and plateau phase (later than day 110). The MIS group exhibited significantly lower disability exacerbation during PDP (β = 0.93 vs. 1.42 points per day, p = 0.008). Additionally, the plateau of NRS back occurred significantly earlier in the MIS group than in the open group (MIS, 26.7 ± 2.6 days vs. open, 51.7 ± 6.6 days, p < 0.001). Conclusion MIS-TLIF resulted in lower postoperative disability during the first 2 weeks compared to the open approach. Furthermore, low back pain achieved an earlier plateau in back pain by about 4 weeks in the MIS approach.

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.