BIOS-04. THERAPIES FOR LEPTOMENINGEAL DISEASE: A NETWORK META-ANALYSIS
Abstract INTRODUCTION Leptomeningeal disease (LMD) has limited head-to-head comparison of available therapies, including systemic chemotherapy (SysCT), intrathecal (IT) or intraventricular therapy (ITV), whole-brain radiotherapy (WBRT), or cranio-spinal irradiation (CSI). No network meta-analysis (N...
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creator | Suresh, Vinay Panchawagh, Suhrud Muneer, Muneeb Mansouri, Alireza Ozair, Ahmad |
description | Abstract
INTRODUCTION
Leptomeningeal disease (LMD) has limited head-to-head comparison of available therapies, including systemic chemotherapy (SysCT), intrathecal (IT) or intraventricular therapy (ITV), whole-brain radiotherapy (WBRT), or cranio-spinal irradiation (CSI). No network meta-analysis (NMA) of randomized controlled trials (RCTs) of LMD has been reported so far.
METHODS
NMA was conducted using published LMD RCTs and reported following PRISMA-NMA guidelines. Primary outcome was survival, assessed using hazard ratios (HRs) and 95% confidence intervals (95%CI). Survival times were converted to HRs under exponential distribution assumption. LogHR standard errors were calculated using deaths per RCT arm. P-scores were used to estimate probability of treatment being superior. Analysis was performed in R using frequentist approach, followed by back-transforming logHRs for indirect and direct comparisons. Incremental effects of individual treatment components were estimated using additive model. Heterogeneity and inconsistency were assessed using tau-squared (τ²), I-squared (I²), and Q-statistics. Analyses were performed separately for main subnetwork with disconnected subnetworks accommodated in additive model.
RESULTS
Seven studies were included, incorporating 7 pairwise comparisons and 9 treatments. 3 subnetworks were identified. Primary subnetwork analysis included 5 studies. Compared to SysCT±RT (reference), logHRs (95%CI) under random effects model were: IT/ITV DepoCyt±SysCT±RT -0.094(-0.468,0.281); IT/ITV methotrexate(MTX)±cytarabine(AraC)±SysCT±RT 0.8567(0.066,1.647). IT/ITV MTX±SysCT±RT 0.318(-0.163,0.798); ITV Thiotepa±SysCT±RT 0.438(-0.294,1.169). Heterogeneity and inconsistency were not detected (τ²=0,I²=0%,Q-statistic=0.57,P=0.45). P-scores were highest for IT/ITV DepoCyt±SysCT±RT (0.894), followed by SysCT±RT (0.769). Disconnected-component-NMA demonstrated incremental logHR: AraC 0.539(-0.347,1.425); IT/ITV DepoCyt 0.052(-0.566,0.670); IT/ITV MTX 0.179(-0.484,0.840); ITV thiotepa 0.298(-0.767,1.362); proton CSI -0.250(-0.726,0.225). No component demonstrated statistically significant incremental benefit, with moderate heterogeneity and adequate fit present (τ²=0.1017,I²=57%,Q-statistic=4.65,P=0.098).
CONCLUSIONS
IT/ITV DepoCyt±SysCT±RT and SysCT±RT were found most effective. Lack of significant incremental benefit warrants evaluating older therapies in contemporary RCTs. |
doi_str_mv | 10.1093/neuonc/noae165.0152 |
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INTRODUCTION
Leptomeningeal disease (LMD) has limited head-to-head comparison of available therapies, including systemic chemotherapy (SysCT), intrathecal (IT) or intraventricular therapy (ITV), whole-brain radiotherapy (WBRT), or cranio-spinal irradiation (CSI). No network meta-analysis (NMA) of randomized controlled trials (RCTs) of LMD has been reported so far.
METHODS
NMA was conducted using published LMD RCTs and reported following PRISMA-NMA guidelines. Primary outcome was survival, assessed using hazard ratios (HRs) and 95% confidence intervals (95%CI). Survival times were converted to HRs under exponential distribution assumption. LogHR standard errors were calculated using deaths per RCT arm. P-scores were used to estimate probability of treatment being superior. Analysis was performed in R using frequentist approach, followed by back-transforming logHRs for indirect and direct comparisons. Incremental effects of individual treatment components were estimated using additive model. Heterogeneity and inconsistency were assessed using tau-squared (τ²), I-squared (I²), and Q-statistics. Analyses were performed separately for main subnetwork with disconnected subnetworks accommodated in additive model.
RESULTS
Seven studies were included, incorporating 7 pairwise comparisons and 9 treatments. 3 subnetworks were identified. Primary subnetwork analysis included 5 studies. Compared to SysCT±RT (reference), logHRs (95%CI) under random effects model were: IT/ITV DepoCyt±SysCT±RT -0.094(-0.468,0.281); IT/ITV methotrexate(MTX)±cytarabine(AraC)±SysCT±RT 0.8567(0.066,1.647). IT/ITV MTX±SysCT±RT 0.318(-0.163,0.798); ITV Thiotepa±SysCT±RT 0.438(-0.294,1.169). Heterogeneity and inconsistency were not detected (τ²=0,I²=0%,Q-statistic=0.57,P=0.45). P-scores were highest for IT/ITV DepoCyt±SysCT±RT (0.894), followed by SysCT±RT (0.769). Disconnected-component-NMA demonstrated incremental logHR: AraC 0.539(-0.347,1.425); IT/ITV DepoCyt 0.052(-0.566,0.670); IT/ITV MTX 0.179(-0.484,0.840); ITV thiotepa 0.298(-0.767,1.362); proton CSI -0.250(-0.726,0.225). No component demonstrated statistically significant incremental benefit, with moderate heterogeneity and adequate fit present (τ²=0.1017,I²=57%,Q-statistic=4.65,P=0.098).
CONCLUSIONS
IT/ITV DepoCyt±SysCT±RT and SysCT±RT were found most effective. Lack of significant incremental benefit warrants evaluating older therapies in contemporary RCTs.</description><identifier>ISSN: 1522-8517</identifier><identifier>EISSN: 1523-5866</identifier><identifier>DOI: 10.1093/neuonc/noae165.0152</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><ispartof>Neuro-oncology (Charlottesville, Va.), 2024-11, Vol.26 (Supplement_8), p.viii39-viii39</ispartof><rights>The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com. 2024</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids></links><search><creatorcontrib>Suresh, Vinay</creatorcontrib><creatorcontrib>Panchawagh, Suhrud</creatorcontrib><creatorcontrib>Muneer, Muneeb</creatorcontrib><creatorcontrib>Mansouri, Alireza</creatorcontrib><creatorcontrib>Ozair, Ahmad</creatorcontrib><title>BIOS-04. THERAPIES FOR LEPTOMENINGEAL DISEASE: A NETWORK META-ANALYSIS</title><title>Neuro-oncology (Charlottesville, Va.)</title><description>Abstract
INTRODUCTION
Leptomeningeal disease (LMD) has limited head-to-head comparison of available therapies, including systemic chemotherapy (SysCT), intrathecal (IT) or intraventricular therapy (ITV), whole-brain radiotherapy (WBRT), or cranio-spinal irradiation (CSI). No network meta-analysis (NMA) of randomized controlled trials (RCTs) of LMD has been reported so far.
METHODS
NMA was conducted using published LMD RCTs and reported following PRISMA-NMA guidelines. Primary outcome was survival, assessed using hazard ratios (HRs) and 95% confidence intervals (95%CI). Survival times were converted to HRs under exponential distribution assumption. LogHR standard errors were calculated using deaths per RCT arm. P-scores were used to estimate probability of treatment being superior. Analysis was performed in R using frequentist approach, followed by back-transforming logHRs for indirect and direct comparisons. Incremental effects of individual treatment components were estimated using additive model. Heterogeneity and inconsistency were assessed using tau-squared (τ²), I-squared (I²), and Q-statistics. Analyses were performed separately for main subnetwork with disconnected subnetworks accommodated in additive model.
RESULTS
Seven studies were included, incorporating 7 pairwise comparisons and 9 treatments. 3 subnetworks were identified. Primary subnetwork analysis included 5 studies. Compared to SysCT±RT (reference), logHRs (95%CI) under random effects model were: IT/ITV DepoCyt±SysCT±RT -0.094(-0.468,0.281); IT/ITV methotrexate(MTX)±cytarabine(AraC)±SysCT±RT 0.8567(0.066,1.647). IT/ITV MTX±SysCT±RT 0.318(-0.163,0.798); ITV Thiotepa±SysCT±RT 0.438(-0.294,1.169). Heterogeneity and inconsistency were not detected (τ²=0,I²=0%,Q-statistic=0.57,P=0.45). P-scores were highest for IT/ITV DepoCyt±SysCT±RT (0.894), followed by SysCT±RT (0.769). Disconnected-component-NMA demonstrated incremental logHR: AraC 0.539(-0.347,1.425); IT/ITV DepoCyt 0.052(-0.566,0.670); IT/ITV MTX 0.179(-0.484,0.840); ITV thiotepa 0.298(-0.767,1.362); proton CSI -0.250(-0.726,0.225). No component demonstrated statistically significant incremental benefit, with moderate heterogeneity and adequate fit present (τ²=0.1017,I²=57%,Q-statistic=4.65,P=0.098).
CONCLUSIONS
IT/ITV DepoCyt±SysCT±RT and SysCT±RT were found most effective. Lack of significant incremental benefit warrants evaluating older therapies in contemporary RCTs.</description><issn>1522-8517</issn><issn>1523-5866</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqNkNFOgzAYhRujiXP6BN70Bcr6F1rAuzrLRmSwQBPjVQOFJhodC2QXvr1M9gDenHNuvnPxIfQI1AMa-6tDd-oPdnXo6w4E9yhwdoUWU_qER0Jc_21GIg7hLbobx09KGXABC5Q8p0VFaOBhvVWl3KeqwklR4kztdbFTeZpvlMzwS1opWaknLHGu9FtRvuKd0pLIXGbvVVrdoxtXf43dw6WXSCdKr7ckKzbpWmbERj4jLnCUt1HjbNjYzoU0bIG1fihYC6GtmxqYC2JGGYeWsagRUWw7MQ0G1nHL_SXy51s79OM4dM4ch4_vevgxQM3ZhJlNmIsJczYxUd5M9afjv4BfkiBdbw</recordid><startdate>20241111</startdate><enddate>20241111</enddate><creator>Suresh, Vinay</creator><creator>Panchawagh, Suhrud</creator><creator>Muneer, Muneeb</creator><creator>Mansouri, Alireza</creator><creator>Ozair, Ahmad</creator><general>Oxford University Press</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20241111</creationdate><title>BIOS-04. THERAPIES FOR LEPTOMENINGEAL DISEASE: A NETWORK META-ANALYSIS</title><author>Suresh, Vinay ; Panchawagh, Suhrud ; Muneer, Muneeb ; Mansouri, Alireza ; Ozair, Ahmad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c832-f4f05d8bfc7bcef707d12d3762d17caba12f4920251d228b689ce628b21cf5c53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Suresh, Vinay</creatorcontrib><creatorcontrib>Panchawagh, Suhrud</creatorcontrib><creatorcontrib>Muneer, Muneeb</creatorcontrib><creatorcontrib>Mansouri, Alireza</creatorcontrib><creatorcontrib>Ozair, Ahmad</creatorcontrib><collection>CrossRef</collection><jtitle>Neuro-oncology (Charlottesville, Va.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Suresh, Vinay</au><au>Panchawagh, Suhrud</au><au>Muneer, Muneeb</au><au>Mansouri, Alireza</au><au>Ozair, Ahmad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>BIOS-04. THERAPIES FOR LEPTOMENINGEAL DISEASE: A NETWORK META-ANALYSIS</atitle><jtitle>Neuro-oncology (Charlottesville, Va.)</jtitle><date>2024-11-11</date><risdate>2024</risdate><volume>26</volume><issue>Supplement_8</issue><spage>viii39</spage><epage>viii39</epage><pages>viii39-viii39</pages><issn>1522-8517</issn><eissn>1523-5866</eissn><abstract>Abstract
INTRODUCTION
Leptomeningeal disease (LMD) has limited head-to-head comparison of available therapies, including systemic chemotherapy (SysCT), intrathecal (IT) or intraventricular therapy (ITV), whole-brain radiotherapy (WBRT), or cranio-spinal irradiation (CSI). No network meta-analysis (NMA) of randomized controlled trials (RCTs) of LMD has been reported so far.
METHODS
NMA was conducted using published LMD RCTs and reported following PRISMA-NMA guidelines. Primary outcome was survival, assessed using hazard ratios (HRs) and 95% confidence intervals (95%CI). Survival times were converted to HRs under exponential distribution assumption. LogHR standard errors were calculated using deaths per RCT arm. P-scores were used to estimate probability of treatment being superior. Analysis was performed in R using frequentist approach, followed by back-transforming logHRs for indirect and direct comparisons. Incremental effects of individual treatment components were estimated using additive model. Heterogeneity and inconsistency were assessed using tau-squared (τ²), I-squared (I²), and Q-statistics. Analyses were performed separately for main subnetwork with disconnected subnetworks accommodated in additive model.
RESULTS
Seven studies were included, incorporating 7 pairwise comparisons and 9 treatments. 3 subnetworks were identified. Primary subnetwork analysis included 5 studies. Compared to SysCT±RT (reference), logHRs (95%CI) under random effects model were: IT/ITV DepoCyt±SysCT±RT -0.094(-0.468,0.281); IT/ITV methotrexate(MTX)±cytarabine(AraC)±SysCT±RT 0.8567(0.066,1.647). IT/ITV MTX±SysCT±RT 0.318(-0.163,0.798); ITV Thiotepa±SysCT±RT 0.438(-0.294,1.169). Heterogeneity and inconsistency were not detected (τ²=0,I²=0%,Q-statistic=0.57,P=0.45). P-scores were highest for IT/ITV DepoCyt±SysCT±RT (0.894), followed by SysCT±RT (0.769). Disconnected-component-NMA demonstrated incremental logHR: AraC 0.539(-0.347,1.425); IT/ITV DepoCyt 0.052(-0.566,0.670); IT/ITV MTX 0.179(-0.484,0.840); ITV thiotepa 0.298(-0.767,1.362); proton CSI -0.250(-0.726,0.225). No component demonstrated statistically significant incremental benefit, with moderate heterogeneity and adequate fit present (τ²=0.1017,I²=57%,Q-statistic=4.65,P=0.098).
CONCLUSIONS
IT/ITV DepoCyt±SysCT±RT and SysCT±RT were found most effective. Lack of significant incremental benefit warrants evaluating older therapies in contemporary RCTs.</abstract><cop>US</cop><pub>Oxford University Press</pub><doi>10.1093/neuonc/noae165.0152</doi></addata></record> |
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title | BIOS-04. THERAPIES FOR LEPTOMENINGEAL DISEASE: A NETWORK META-ANALYSIS |
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