Evidence map›Paper›PMID 37619485›Full record

ArticleSeminars in arthritis and rheumatism2023

Assessment of patient-reported symptoms and distress in IgG4-related disease (IgG4-RD): Development, clinical validation, and content validation of the IgG4-RD Symptom Severity Index.

Zachary S Wallace, Grace A McMahon, Buuthien Hang, Xiaoqing Fu, Tyler Harkness, Karen Donelan, Ana Fernandes, Claire Cook, Guy Katz, Cory Perugino and 1 more

Open access · greenAbstract read
In one paragraph

Article in Seminars in arthritis and rheumatism, 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
1.7field-weighted citation impact, top 15% 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, 7 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

11 authors at 2 institutions in 1 country.

Zachary S WallaceClinical Epidemiology Program, Mongan Institute, Massachusetts General Hospital, USA; Rheumatology Unit, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, USA; Harvard Medical School, USA. Electronic address: zswallace@mgh.harvard.edu.
Grace A McMahonClinical Epidemiology Program, Mongan Institute, Massachusetts General Hospital, USA; Rheumatology Unit, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, USA.
Buuthien HangClinical Epidemiology Program, Mongan Institute, Massachusetts General Hospital, USA.
Xiaoqing FuClinical Epidemiology Program, Mongan Institute, Massachusetts General Hospital, USA; Rheumatology Unit, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, USA.
Tyler HarknessClinical Epidemiology Program, Mongan Institute, Massachusetts General Hospital, USA; Rheumatology Unit, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, USA.
Karen DonelanHealth Policy Research Center, Mongan Institute, Massachusetts General Hospital, USA; Harvard Medical School, USA.
Ana FernandesRheumatology Unit, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, USA.
Claire CookClinical Epidemiology Program, Mongan Institute, Massachusetts General Hospital, USA; Rheumatology Unit, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, USA.
Guy KatzRheumatology Unit, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, USA.
Cory PeruginoRheumatology Unit, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, USA; Harvard Medical School, USA.
John H StoneRheumatology Unit, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, USA; Harvard Medical School, USA.
Massachusetts General Hospital · USHarvard University · US

Funding

Research Training in Rheumatology at Massachusetts General HospitalT32AR007258 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI ANDREW D LUSTER · 1986 to 2026
$6.9M
Targeting T cell Subsets in Autoimmune DiseaseUM1AI144295 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI John H Stone · 2019 to 2026
$1.4M
Impact of ANCA Type and Rituximab vs. Cyclophosphamide on Cardiovascular Risk, Mortality, and Quality-Adjusted Life Years inANCA-Associated VasculitisK23AR073334 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI WALLACE, ZACHARY SCOTT · 2018 to 2022
$948k
Defining the antigenic determinants of the adaptive immune response in IgG4-related diseaseK08AR079615 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI PERUGINO, CORY · 2021 to 2025
$875k
Personalizing AAV Management by Leveraging Big Data: Targeting Complication ClustersR03AR078938 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI WALLACE, ZACHARY SCOTT · 2021 to 2022
$189k
NIAID NIH HHS UM1 AI144295NIAMS NIH HHS K08 AR079615NIAMS NIH HHS K23 AR073334NIAMS NIH HHS L30 AR070520NIAMS NIH HHS R03 AR078938NIAMS NIH HHS T32 AR007258
6 · The paper itself

Abstract

objectiveIgG4-related disease (IgG4-RD), a multi-organ autoimmune disease, causes diverse manifestations that can lead to symptoms and distress. We developed and validated the Symptom Severity Index (SSI) to assess symptom burden.

methodsA pilot SSI was tested in n = 5; several gaps were identified. Twenty semi-structured qualitative interviews were performed to expand the item set and identify missing symptoms. Subsequent changes resulted in the current SSI; it was administered with quality of life (QOL) measures to n = 136. We assessed symptom burden and the construct validity of the SSI. A distress score for each symptom is calculated by multiplying symptom frequency ("Never" [0 points] to "Every Day" [3 points]) by associated distress ("None" [0 points] to "Very Much" [4 points]). Each distress score is summed to calculate a total SSI score.

resultsThe SSI assesses the frequency and distress of 24 symptoms. Among n = 136 with ≥ 1 SSI, 90% experienced ≥ 1 symptom and 88% had distress. The median SSI score was 6.5 (IQR 3.0, 18.0). Fear of more severe disease was observed in 49%. The SSI inversely correlated with the SF-36 (r= - 0.51, p<0.001), the feeling thermometer (r= - 0.28, p<0.001), and the EQ-5D (r= - 0.28, p<0.001). The median SSI score was higher during active vs non-active disease among n = 52 who completed >1 SSI (15 [6, 26] vs. 3 [2, 14], p = 0.008).

conclusionsSymptoms and distress are common in IgG4-RD and associated with worse health-related QOL. The SSI has face, content, and construct validity; it corresponds with QOL measures.

Indexed as

Autoimmune DiseasesImmunoglobulin G4-Related DiseaseHumansPatient Reported Outcome MeasuresQuality of LifeIgG4-related diseasePatient reported outcomesSymptom burden

Identifiers

PMID37619485
PMCPMC11004491
OpenAlexW4385988241

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Registered trials

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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.