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#evidencesynthesis — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #evidencesynthesis, aggregated by home.social.

  1. The WHA teleradiology resolution turns remote imaging services into an evidence, governance, and implementation-readiness question for market access teams. mattheneus.com/editorial/who-t #HTA #EvidenceSynthesis #RegulatoryAffairs

  2. HTA evidence teams are hitting a fragmentation wall: ITC, MAIC, NMA, RWE, modelling, and reporting now need one traceable workflow, not stitched-together handoffs. mattheneus.com/editorial/abang #HTA #NMA #MAIC #EvidenceSynthesis #HealthEconomics

  3. G-BA says concizumab's added benefit is not proven in haemophilia A because comparator alignment still decides whether evidence lands or unravels. mattheneus.com/editorial/g-ba- #HTA #NMA #MAIC #EvidenceSynthesis

  4. NICE’s fezolinetant decision is a live case study in how reimbursement can clear despite uncertain indirect evidence beyond placebo. The real lesson is comparator-bridge discipline, not false certainty. mattheneus.com/editorial/nice- #HTA #NMA #MAIC #EvidenceSynthesis #RegulatoryAffairs

  5. RWE fails when it is treated as a late appendix instead of submission architecture. Canada and EU HTA now reward early evidence planning and traceable decision logic. mattheneus.com/editorial/rwe-s #HTA #RWE #RegulatoryAffairs #EvidenceSynthesis

  6. AI can already speed up evidence screening and extraction, but the latest validation signal says HTA teams should keep human oversight on judgment-heavy risk-of-bias work. mattheneus.com/editorial/ai-ev #HTA #EvidenceSynthesis #Pharma

  7. When two NMAs disagree, the ranking usually isn’t the truth—it’s the output of study selection, population splits, and consistency choices. This playbook shows how to stress-test the decision question before a league table enters a dossier. mattheneus.com/editorial/when- #HTA #NMA #EvidenceSynthesis #RegulatoryAffairs

  8. AMNOG haemophilia dossiers get much harder when inhibitor and non-inhibitor populations are split—this playbook explains the evidence architecture teams need before review. mattheneus.com/editorial/amnog #HTA #EvidenceSynthesis #RegulatoryAffairs

  9. NMA outputs are now shaping HTA timelines before submission—not after. If your evidence plan starts late, your access strategy starts behind. mattheneus.com/editorial/hta-v #HTA #NMA #EvidenceSynthesis #RegulatoryAffairs

  10. Retractions can silently invalidate NMA assumptions days before dossier lock—if your evidence ops aren’t retraction-aware, you’re flying blind. New seven-day governance playbook: mattheneus.com/editorial/nma-r #HTA #NMA #EvidenceSynthesis #RegulatoryAffairs

  11. CEE HTA bodies like Poland's AOTMiT face a dual challenge: aligning domestic benefit-assessment methodology with EU JCA evidence standards for ITC & NMA while preserving reimbursement integrity. A practical playbook for market-access teams.
    mattheneus.com/editorial/aotmi
    #HTA #NMA #EvidenceSynthesis #RegulatoryAffairs

  12. Publication bias is systematically under-tested in NMA dossiers — a scoping review of 22 critical appraisal instruments confirms no standardised decision rules exist. Comparison-adjusted funnel plots should be mandatory in HTA submissions: mattheneus.com/editorial/fallb #HTA #NMA #EvidenceSynthesis #RegulatoryAffairs

  13. Here's a fun one for #EvidenceSynthesis / #SystematicReview crowd 📚

    @ZijunLi and me are doing a meta-analysis where we compare two groups.

    We use the "Cohen's d" family of effect size metrics for the meta-analysis (comparing baseline to follow-up, immediate and later)

    Some studies (e.g. smoking interventions) only report a percentage in each arm (e.g. % of smokers).

    How to best convert these percentages into smth Cohen's d-ish? 🤔

    We appreciate any help / boosting!

  14. Here's a fun one for #EvidenceSynthesis / #SystematicReview crowd 📚

    @ZijunLi and me are doing a meta-analysis where we compare two groups.

    We use the "Cohen's d" family of effect size metrics for the meta-analysis (comparing baseline to follow-up, immediate and later)

    Some studies (e.g. smoking interventions) only report a percentage in each arm (e.g. % of smokers).

    How to best convert these percentages into smth Cohen's d-ish? 🤔

    We appreciate any help / boosting!

  15. Here's a fun one for #EvidenceSynthesis / #SystematicReview crowd 📚

    @ZijunLi and me are doing a meta-analysis where we compare two groups.

    We use the "Cohen's d" family of effect size metrics for the meta-analysis (comparing baseline to follow-up, immediate and later)

    Some studies (e.g. smoking interventions) only report a percentage in each arm (e.g. % of smokers).

    How to best convert these percentages into smth Cohen's d-ish? 🤔

    We appreciate any help / boosting!

  16. Here's a fun one for #EvidenceSynthesis / #SystematicReview crowd 📚

    @ZijunLi and me are doing a meta-analysis where we compare two groups.

    We use the "Cohen's d" family of effect size metrics for the meta-analysis (comparing baseline to follow-up, immediate and later)

    Some studies (e.g. smoking interventions) only report a percentage in each arm (e.g. % of smokers).

    How to best convert these percentages into smth Cohen's d-ish? 🤔

    We appreciate any help / boosting!

  17. Here's a fun one for #EvidenceSynthesis / #SystematicReview crowd 📚

    @ZijunLi and me are doing a meta-analysis where we compare two groups.

    We use the "Cohen's d" family of effect size metrics for the meta-analysis (comparing baseline to follow-up, immediate and later)

    Some studies (e.g. smoking interventions) only report a percentage in each arm (e.g. % of smokers).

    How to best convert these percentages into smth Cohen's d-ish? 🤔

    We appreciate any help / boosting!

  18. Cross-country HTA evidence transfer is now a credibility bottleneck: a new 2026 review finds inverse-odds weighting dominates practice while true transportability remains limited. What’s your governance plan for target-population assumptions? mattheneus.com/editorial/hta-t #HTA #MAIC #NMA #EvidenceSynthesis #RWE

  19. NCPE’s perioperative pembrolizumab position shows the bottleneck: cost-effectiveness under uncertainty when indirect evidence informs decisions.

    mattheneus.com/editorial/ncpe-

    #HTA #NMA #EvidenceSynthesis #Pharma

  20. Cochrane pilots responsible AI tools — abstract screening, full-text review, and NMA — using the RAISE framework for evidence synthesis. A new governance baseline for systematic reviewers and HTA teams. mattheneus.com/editorial/cochr #HTA #NMA #EvidenceSynthesis #RegulatoryAffairs

  21. Depression HTA decisions can fail when outcome scales are misaligned across trials—this playbook shows how to keep ITC/NMA comparisons decision-grade. mattheneus.com/editorial/depre #HTA #NMA #MAIC #EvidenceSynthesis #RWE