Evidence map›Paper›PMID 37707292›Full record

ArticleActa dermato-venereologica2023

Prolonged Sick Leave Before and After Diagnosis of Generalized Pustular Psoriasis: A Swedish Population-based Register Study.

Sofia Löfvendahl, Jenny M Norlin, Oskar Ericson, Malin Hanno, Marcus Schmitt-Egenolf

Open access · goldAbstract read
In one paragraph

Article in Acta dermato-venereologica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 22% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Sofia LöfvendahlThe Swedish Institute for Health Economics (IHE), Lund, Sweden. Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden.
Jenny M NorlinThe Swedish Institute for Health Economics (IHE), Lund, Sweden.
Oskar EricsonThe Swedish Institute for Health Economics (IHE), Lund, Sweden.
Malin HannoBoehringer Ingelheim, Stockholm, Sweden.
Marcus Schmitt-EgenolfDepartment of Public Health and Clinical Medicine, Dermatology, Umeå university, Umeå, Sweden. marcus.schmitt-egenolf@umu.se.
Swedish Institute for Health Economics · SEBoehringer Ingelheim (Sweden) · SEUmeå University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to analyse sick leave in generalized pustular psoriasis, the most severe form of pustular psoriasis. Prolonged sick leave of >14 days was analysed for 502 patients with generalized pustular psoriasis compared with controls with psoriasis vulgaris and matched controls from the general population. Using data from the Swedish National Patient Register, and the Longitudinal integrated database for health insurance and labour market studies, the study estimated the mean number of sick leave days in the year of first diagnosis of generalized pustular psoriasis (index year) and for 2 years before and after the index year. Patients with generalized pustular psoriasis were on sick leave to a larger extent than both control populations for all study years. The number of sick leave days peaked in the index year and then reduced. Compared with the control populations, sick leave in generalized pustular psoriasis was already higher prior to diagnosis, indicating delayed diagnosis and/or a comorbidity burden.

Indexed as

Primary Immunodeficiency DiseasesPsoriasisSkin Diseases, VesiculobullousAcute DiseaseChronic DiseaseHumansSick LeaveSweden

Identifiers

PMID37707292
PMCPMC10512969
OpenAlexW4386726875

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.