Evidence map›Paper›PMID 39235051›Full record

Observational studyActa dermato-venereologica2024

Identifying Predictors of PASI100 Responses up to Month 12 in Patients with Moderate-to-severe Psoriasis Receiving Biologics in the Psoriasis Study of Health Outcomes (PSoHO).

April W Armstrong, Elisabeth Riedl, Patrick M Brunner, Stefano Piaserico, Willie I Visser, Natalie Haustrup, Bruce W Konicek, Zbigniew Kadziola, Mercedes Nunez, Alan Brnabic and 1 more

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Acta dermato-venereologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

April W ArmstrongUniversity of California, Los Angeles, CA, USA. aprilarmstrong@post.harvard.edu.
Elisabeth RiedlDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.
Patrick M BrunnerDepartment of Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Stefano PiasericoDermatology Unit, Department of Medicine, University of Padova, Padua, Italy.
Willie I VisserDivision of Dermatology, Department of Medicine, Tygerberg Academic Hospital and Stellenbosch University, Cape Town, South Africa.
Natalie HaustrupEli Lilly and Company, Indianapolis, USA.
Bruce W KonicekEli Lilly and Company, Indianapolis, USA.
Zbigniew KadziolaEli Lilly and Company, Indianapolis, USA.
Mercedes NunezEli Lilly and Company, Indianapolis, USA.
Alan Brnabic *Eli Lilly and Company, Indianapolis, USA.
Christopher Schuster *Department of Dermatology, Medical University of Vienna, Vienna, Austria; Eli Lilly and Company, Indianapolis, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the abundance of data concerning biologic treatments for patients with psoriasis, clinicians are often challenged with discerning the optimal treatment for each patient. To inform this selection, this study explored whether a patient's baseline characteristics or disease profile could predict the likelihood of achieving complete skin clearance with biologic treatment. Machine-learning and other statistical methods were applied to the substantial data collected from patients with moderate-to-severe psoriasis in the ongoing, international, prospective, observational Psoriasis Study of Health Outcomes (PSoHO). The 3 measures of complete skin clearance were a psoriasis area and severity index (PASI)100 response at (a) week 12, (b) month 12, and (c) week 12 and maintain ed at month 6 and month 12 (PASI100 durability). From these real-world data, the absence of nail psoriasis emerged  as the most consistent feature that may be used by clinicians to predict high-level treatment responses with biologic treatment. Other significant predictors of skin clearance with biologic treatments were the absence of hypertension and a lower body surface area affected by psoriasis. Overall, this study evidences the substantial challenge of identifying reliable clinical markers of treatment response for patients with psoriasis and highlights the importance of regular screening for psoriatic nail involvement.

Indexed as

Biological ProductsPsoriasisSeverity of Illness IndexAdultDermatologic AgentsFemaleHumansMachine LearningMaleMiddle AgedNail DiseasesPredictive Value of TestsProspective StudiesRemission InductionSkinTime FactorsBiological ProductsDermatologic Agents

Identifiers

PMID39235051
PMCPMC11388106

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Registered trials

None linked

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.