ArticleCureus2026
Evidence Synthesis Gone Awry: The Perils of Aggregating Ineffective or Unsafe Doses in Alopecia Areata Reviews.
Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- JAK Inhibitors for Alopecia Areata: Approved Therapies, Efficacy, and Unanswered Questions.Drug design, development and therapy · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Network and conventional meta-analyses can increase precision for clinical decision-making but risk producing misleading hierarchies when they pool ineffective, unsafe, or unapproved dosing regimens alongside licensed therapies. Using recent evidence syntheses in alopecia areata, we show how inclusion of small, underpowered dose strata and regimens that never advanced to pivotal trials or were not pursued for regulatory approval (for example, deuruxolitinib 4 mg twice‑daily {BID}, deuruxolitinib 12 mg BID, and ritlecitinib 200 mg loading doses) can distort pooled efficacy and safety estimates, elevate unapproved regimens in rankings, and invite inappropriate causal inferences. We outline key methodological safeguards and offer concrete recommendations as follows: prespecify exclusion or planned sensitivity analyses for unapproved doses, transparently report approval status and relevant regulatory actions (for example, clinical holds) alongside pooled safety estimates, avoid causal attributions from small strata and present uncertainty appropriately, and report sensitivity analyses that omit unapproved doses. Implementing these practices preserves the statistical advantages of meta-analysis while protecting clinicians, guideline panels, and payors from misleading inferences drawn from small or unrepresentative dose groups.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.