Evidence map›Paper›PMID 42017426›Full record

ArticleCurrent protocols2026

The PhenX Toolkit: Long COVID Collection of Standard Protocols.

Michelle C Krzyzanowski, Helen Pan, Iris Glaze, Stephen Hwang, David Williams, Michelle Engle, Justin Waterfield, Cataia Ives, Sara Armson, Wayne Huggins and 1 more

Abstract read
In one paragraph

Article in Current protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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.

Michelle C KrzyzanowskiRTI International, Durham, North Carolina.
Helen PanRTI International, Durham, North Carolina.
Iris GlazeRTI International, Durham, North Carolina.
Stephen HwangRTI International, Durham, North Carolina.
David WilliamsRTI International, Durham, North Carolina.ORCID https://orcid.org/0000-0002-5714-2865
Michelle EngleRTI International, Durham, North Carolina.
Justin WaterfieldRTI International, Durham, North Carolina.
Cataia IvesRTI International, Durham, North Carolina.
Sara ArmsonRTI International, Durham, North Carolina.
Wayne HugginsRTI International, Durham, North Carolina.
Carol M HamiltonRTI International, Durham, North Carolina.ORCID https://orcid.org/0000-0001-9159-3013

Funding

Genomic Resource Grant for the PhenX Toolkit - expansion and sustainabilityPhenX Supplement for COVID-19 ResearchU41HG007050 · NHGRI · RESEARCH TRIANGLE INSTITUTE · PI HAMILTON, CAROL MARIE · 2013 to 2022
$21.2M
Establishing the PhenX Toolkit as a Biomedical KnowledgebaseU24HG012556 · NHGRI · RESEARCH TRIANGLE INSTITUTE · PI Carol Marie Hamilton · 2022 to 2026
$8.7M
Biomedical Knowledgebase (U24HG012556)Disaster Research Response (DR2)Genomic Research (U41HG007050)NCI NIH HHSNHGRI NIH HHS U24 HG012556NHGRI NIH HHS U41 HG007050NHLBI NIH HHSNIDA NIH HHSNIEHS NIH HHSNIMHD NIH HHSNINDS NIH HHSODCDC CDC HHSOffice of Behavioral and Social Sciences Research
6 · The paper itself

Abstract

Because of the urgent need to better understand the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission mechanism and clinical outcomes resulting from infection, health organizations and research institutes developed data collection instruments to assess coronavirus disease 2019 (COVID-19) symptoms, treatments, and associated impacts on behaviors and risks, treatment and outcomes, information available, psychosocial and mental health, and socioeconomic effects across demographic groups. The PhenX team developed the COVID-19 Protocol Library to share data collection instruments, methods, and protocols in use by investigators and to reduce proliferation of similar protocols. The Office of Behavioral and Social Sciences Research and the National Human Genome Research Institute sponsored the effort, in collaboration with the NIH Disaster Research Response Program. As the COVID-19 library was being established, crowdsourcing was used to identify key topics related to the pandemic, which formed the basis of the COVID-19 Research Collection, and was released in the PhenX Toolkit. Long COVID continues to have an impact on human health. Long COVID is a chronic condition that occurs after SARS-CoV-2 infection and is present for at least 3 months, encompassing a variety of symptoms or conditions that may improve, worsen, or be ongoing. Not surprisingly, submissions to the COVID-19 library began to address Long COVID symptoms. After discussions with its Steering Committee, the PhenX team established a collection of Long COVID measurement protocols. Also, there was significant interest in assessing the amount of overlap among all instruments submitted to the COVID-19 library. The intent was to develop a tool that could identify potential for cross-study analyses. The COVID-19 Variable Compare Tool (VCT) integrates all COVID-19 Research Collection protocols and a prioritized subset of instruments from the COVID-19 library. The Long COVID Specialty Collection and the VCT support investigators' needs to combine and analyze data related to COVID-19 prospectively and retrospectively by identifying compatibility with other studies. © 2026 RTI International. Current Protocols published by Wiley Periodicals LLC. Basic Protocol: Exploring Long COVID through PhenX Toolkit Specialty Collections and the Variable Compare Tool.

Indexed as

COVID-19Data CollectionHumansPost-Acute COVID-19 SyndromeSARS-CoV-2COVID‐19Data harmonizationLong COVIDPhenX ToolkitSARS‐CoV‐2Variable Compare Tool

Identifiers

PMID42017426
PMCPMC13101040

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.