@drjohnm @BrianAlperMD @BMJ_EBM @ravigarg415 More evidence from @ravigarg415 contributes to the uncertainty. "This methodological survey of an alteplase for ischemic stroke meta-analysis revealed MOD may be an important source of unrecognized bias." https://t.co/lDc3eukQP8
Methodological survey of missing outcome data in an alteplase for ischemic stroke meta-analysis.
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Aug 2022 – Oct 2025Where it's discussed
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X / Twitter17 posts
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News3 articles
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YouTube2 videos
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Blogs2 articles
AI synopsis
What people are saying
The group actively discusses the potential biases introduced by missing outcome data, highlighting examples like @ravigarg415's work and the broader implications for stroke trial reliability. Their tone combines technical language and curiosity, reflecting a strong interest in understanding and addressing these methodological concerns, which supports their high interest and engagement scores.
Most discussions acknowledge that missing outcome data could bias stroke trial results, showing a general consensus on its importance.
The posts display high curiosity and concern about how missing data affects study validity, with multiple references to ongoing debates.
Many posts delve into methodological details, referencing specific studies, alternative analyses, and upcoming discussions, indicating deep involvement.
While some posts suggest the issue raises awareness, the overall perceived impact on clinical practice or policy remains moderate, emphasizing research importance rather than immediate change.
Abstract in brief
- This study conducted a methodological survey of a meta-analysis on alteplase treatment for ischemic stroke, specifically focusing on the issue of missing outcome data (MOD), which can occur when participants are lost to follow-up.
- The survey found that all trials used a single imputation method to handle missing data, and the number of participants lost was often greater than the fragility index, indicating that MOD could potentially influence the reported effectiveness of the treatment.
- The study emphasizes the importance of addressing MOD carefully, as it may introduce bias into study results, and recommends using more robust sensitivity analyses to improve the reliability of findings.
Top posts
Most liked on X and BlueskyLink to article by neurologist Dr. Garg. https://t.co/31hm0fAOcm
@alandrummond2 @BrianAlperMD @BMJ_EBM @DrNancyOlivieri @ravigarg415 Another potential source of uncertainty comes from the missing outcome data in the tPA stroke studies. https://t.co/31hm0fAOcm @First10EM @DrHowieMell @MedFactChecks
@OfficerCasualty @MicieliA_MD @KirstyChallen @ravigarg415 @StrokeAHA_ASA @First10EM @srrezaie @CCREM2 Another concern about lysis besides stroke mimics that @ravigarg415 has published about is the missing outcome data in alteplase studies. https://t.co/31hm0fAOcm @TheNewANA1
If other experts have issues with @ravigarg415 publication on missing outcome data are encouraged to write a letter to the editor @BioMedCentral https://t.co/zr91qlwhwv
@syaddana_neuro @a_charidimou @ravigarg415 @EMNews @UofTNeurology @UCLAStrokeNeuro @First10EM @KirstyChallen @emlitofnote @DrHowieMell @TheStrokeAssoc @ZoiNetou @BMC_series He has also published a peer reviewed article on missing outcome data in the tPA literature. Do you have any specific issues with this analysis? https://t.co/31hm0fAOcm
All mentions
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@drgt2010 @joshkimbre @drjohnm @First10EM @thenntgroup @BrianAlperMD Issues with how missing outcome data was handled in stroke trials. https://t.co/zr91qlwhwv
@EpiEllie An example would be like in the alteplase literature for acute ischemic stroke identified by @ravigarg415 #EBM https://t.co/zr91qlwhwv
@armyemdoc @BrianAlperMD @BMJ_EBM @ravigarg415 My skepticism went even higher with @ravigarg415 's work on missing data in these stroke trials. https://t.co/zr91qlwPm3
@drjohnm @BrianAlperMD @BMJ_EBM @ravigarg415 More evidence from @ravigarg415 contributes to the uncertainty. "This methodological survey of an alteplase for ischemic stroke meta-analysis revealed MOD may be an important source of unrecognized bias." https://t.co/lDc3eukQP8
@alandrummond2 @BrianAlperMD @BMJ_EBM @DrNancyOlivieri @ravigarg415 Another potential source of uncertainty comes from the missing outcome data in the tPA stroke studies. https://t.co/31hm0fAOcm @First10EM @DrHowieMell @MedFactChecks
@OfficerCasualty @KirstyChallen @ravigarg415 @StrokeAHA_ASA @First10EM @srrezaie @CCREM2 @TheNewANA1 The missing outcome data in these stroke trials may/may not be an important source of unrecognized bias. What this information does is increase my uncertainty about this therapy. https://t.co/zr91qlwhwv @ravigarg415 @BrianAlperMD https://t.co/NmCBe7DhNu
@OfficerCasualty @MicieliA_MD @KirstyChallen @ravigarg415 @StrokeAHA_ASA @First10EM @srrezaie @CCREM2 Another concern about lysis besides stroke mimics that @ravigarg415 has published about is the missing outcome data in alteplase studies. https://t.co/31hm0fAOcm @TheNewANA1
@_dorandrew @First10EM @emergmedottawa @ravigarg415 Appreciate your response. How'd you think we interpret the potential biases that can be carried through in SRMAs? This includes but is not limited to: Lack of randomization (NINDS) Lack of blinding (IST-3 larges trial) Mission outcome Data (see attached) https://t.co/31hm0fAOcm
@4mmk36 @MicieliA_MD @TotoMynell @TheSGEM @stephanamayer @ravigarg415 @Hamishmcmack https://t.co/M0SVpCDK9X
@TotoMynell @stephanamayer @AJWPharm @ravigarg415 Dr. Garg has also published an interesting study on missing outcome data from alteplase trials. https://t.co/zr91qlwPm3
@PatientStormDoc @DrHowieMell @f2harrell @ADAlthousePhD @statsepi @ravigarg415 Neurologist @ravigarg415 has also published on the issue of missing data. https://t.co/31hm0fAOcm
If other experts have issues with @ravigarg415 publication on missing outcome data are encouraged to write a letter to the editor @BioMedCentral https://t.co/zr91qlwhwv
@syaddana_neuro @a_charidimou @ravigarg415 @EMNews @UofTNeurology @UCLAStrokeNeuro @First10EM @KirstyChallen @emlitofnote @DrHowieMell @TheStrokeAssoc @ZoiNetou @BMC_series He has also published a peer reviewed article on missing outcome data in the tPA literature. Do you have any specific issues with this analysis? https://t.co/31hm0fAOcm
@DrHowieMell @aleksmineyko @Hamishmcmack @ravigarg415 @UCLAStrokeNeuro Dr. Garg will be back on the SGEM this fall to discuss his other peer reviewed study on missing outcome data & be given the opportunity to respond to Dr. Saver’s comments. @aleksmineyko Do you have any question you would like me to ask Dr. Garg. https://t.co/31hm0fAOcm
@DrHowieMell @ravigarg415 @Hamishmcmack @aleksmineyko @UCLAStrokeNeuro There will be another SGEM Xtra with Dr. Garg discussing his missing outcome data paper. He will have an opportunity to comment on the poll and Dr. Saver’s comments. https://t.co/31hm0fSp3U
Link to article by neurologist Dr. Garg. https://t.co/31hm0fAOcm
@precordialthump @DocEd @ffolliet @ravigarg415 @PulmCrit @First10EM @WICSBottomLine Thank you for the helpful comments on the FI study by Dr. Saver. I’m also doing an SGEM Xtra on missing data that uses the FI with author @ravigarg415 who is tagged on this thread. Any feedback to help with this interview? I love talking nerdy. https://t.co/31hm0fAOcm
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