Evidence map›Paper›PMID 34175230›Full record

ReviewTrends in molecular medicine2021

Insights from myalgic encephalomyelitis/chronic fatigue syndrome may help unravel the pathogenesis of postacute COVID-19 syndrome.

Anthony L Komaroff, W Ian Lipkin

Open access · bronzeAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Trends in molecular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
178citing papers in PubMed, 8 pooled it
30.4field-weighted citation impact, top 1% 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

178 citing papers in PubMed, 8 syntheses or guidelines pooled it, 247 citations in OpenAlex.

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118 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 1 country.

Anthony L KomaroffDivision of General Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: anthony_komaroff@hms.harvard.edu.
W Ian LipkinCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA. Electronic address: wil2001@cumc.columbia.edu.
Columbia University · USHarvard University · US

Funding

Project 3 : Clinical correlates and diagnostics in ME/CFSU54AI138370 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LIPKIN, W. IAN · 2017 to 2022
$10.7M
NIAID NIH HHS U54 AI138370
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can cause chronic and acute disease. Postacute sequelae of SARS-CoV-2 infection (PASC) include injury to the lungs, heart, kidneys, and brain that may produce a variety of symptoms. PASC also includes a post-coronavirus disease 2019 (COVID-19) syndrome ('long COVID') with features that can follow other acute infectious diseases and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Here we summarize what is known about the pathogenesis of ME/CFS and of 'acute' COVID-19, and we speculate that the pathogenesis of post-COVID-19 syndrome in some people may be similar to that of ME/CFS. We propose molecular mechanisms that might explain the fatigue and related symptoms in both illnesses, and we suggest a research agenda for both ME/CFS and post-COVID-19 syndrome.

Indexed as

COVID-19Energy MetabolismFatigue Syndrome, ChronicGastrointestinal MicrobiomeHumansNervous SystemPost-Acute COVID-19 SyndromeCOVID-19long COVIDmyalgic encephalomyelitis/chronic fatigue syndromepostacute sequelae of SARS-CoV-2post–COVID-19 syndromeSARS-CoV-2

Identifiers

PMID34175230
PMCPMC8180841
OpenAlexW3166820281

What OpenQuestion holds

Textmetadata
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.