Evidence map›Paper›PMID 39117891›Full record

ArticleJournal of patient-reported outcomes2024

The symptoms evolution of long COVID‑19 (SE-LC19): a new patient-reported content valid instrument.

Diana Rofail, Selin Somersan-Karakaya, Eleftherios Mylonakis, Julia Y Choi, Krystian Przydzial, Sarah Marquis, Yuming Zhao, Mohamed Hussein, Thomas D Norton, Anna J Podolanczuk and 1 more

Abstract read
In one paragraph

Article in Journal of patient-reported outcomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
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.

Diana RofailRegeneron Pharmaceuticals, Inc., 1 Rockwood Road, Sleepy Hollow, NY, 10591, USA. diana.rofail@regeneron.com.
Selin Somersan-KarakayaRegeneron Pharmaceuticals, Inc., 1 Rockwood Road, Sleepy Hollow, NY, 10591, USA.
Eleftherios MylonakisInfectious Diseases Division, Warren Alpert Medical School of Brown University, Providence, RI, USA.
Julia Y ChoiModus Outcomes, Cambridge, MA, USA.
Krystian PrzydzialModus Outcomes, Cambridge, MA, USA.
Sarah MarquisModus Outcomes, Cambridge, MA, USA.
Yuming ZhaoRegeneron Pharmaceuticals, Inc., 1 Rockwood Road, Sleepy Hollow, NY, 10591, USA.
Mohamed HusseinRegeneron Pharmaceuticals, Inc., 1 Rockwood Road, Sleepy Hollow, NY, 10591, USA.
Thomas D NortonRegeneron Pharmaceuticals, Inc., 1 Rockwood Road, Sleepy Hollow, NY, 10591, USA.
Anna J PodolanczukWeill Cornell Medical College, New York, NY, USA.
Gregory P GebaRegeneron Pharmaceuticals, Inc., 1 Rockwood Road, Sleepy Hollow, NY, 10591, USA.

Funding

Department of Health and Human Services, Office of the Administration for Strategic Preparedness and Response, and Biomedical Advanced Research and Development Authority HHSO100201700020CRegeneron Pharmaceuticals N/A
6 · The paper itself

Abstract

backgroundThe field of long COVID research is rapidly evolving, however, tools to assess and monitor symptoms and recovery of the disease are limited. The objective of the present study was to develop a new patient-reported outcomes instrument, the Symptoms Evolution of Long COVID‑19 (SE-LC19), and establish its content validity.

methodsThe 40-item SE-LC19 instrument was developed based on patient-relevant empirical evidence from scientific literature and clinical guidelines that reported symptoms specific to long COVID. A 2-part mixed-method approach was employed. Part 1: Qualitative interviews with a purposive sample of 41 patients with confirmed long COVID were conducted for the content validation of SE-LC19. During cognitive debriefing interviews, patients were asked to describe their understanding of the instrument's instructions, specific symptoms, response options, and recall period to ensure its relevance and comprehensiveness. Five clinicians of different medical specialties who regularly treated patients with long COVID were also interviewed to obtain their clinical expert opinions on SE-LC19. Part 2: Exploratory Rasch Measurement Theory (RMT) analysis was conducted to evaluate the psychometric properties of the SE-LC19 data collected during the interviews.

resultsOverall, patients reported that the instructions, questions, recall period, and response options for SE-LC19 were comprehensive and relevant. Minor conceptual gaps reported by patients captured nuances in the experience of some symptoms that could be considered in future studies. Some patients suggested a revision of the recall period from 24 h to 7 days to be able to capture more symptoms given the waxing and waning nature of some symptoms. Clinicians found the instrument comprehensive with minimal suggestions regarding its content. Exploratory RMT analyses provided evidence that the SE-LC19 questionnaire performed as intended.

conclusionThe present mixed-methods study in patients with confirmed long COVID supports the content validity and applicability of the SE-LC19 instrument to evaluate the symptoms of patients with long COVID. Further research is warranted to explore the psychometric properties of the instrument and refine a meaningful and robust patient-relevant endpoint for use in different settings such as clinical trials and clinical practice to track the onset, severity, and recovery of long COVID.

Indexed as

COVID-19Patient Reported Outcome MeasuresPost-Acute COVID-19 SyndromePsychometricsSARS-CoV-2AdultAgedFemaleHumansMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesLong COVIDLong-haul COVIDLong haulersPatient-reported outcome measuresPatient-reported outcomesPost-COVID conditionsQualitativeQuestionnaireSymptoms

Identifiers

PMID39117891
PMCPMC11310370

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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.