Evidence map›Paper›PMID 38611624›Full record

ReviewDiagnostics (Basel, Switzerland)2024

Long COVID: Long-Term Impact of SARS-CoV2.

Huda Makhluf, Henry Madany, Kenneth Kim

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
8.9field-weighted citation impact, top 2% 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

19 citing papers in PubMed, 24 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

3 authors at 1 institution in 1 country.

Huda MakhlufDepartment of Mathematics and Natural Sciences, National University, San Diego, CA 92123, USA.
Henry MadanyCenter for Infectious Disease, La Jolla Institute, La Jolla, CA 92037, USA.
Kenneth KimCenter for Infectious Disease, La Jolla Institute, La Jolla, CA 92037, USA.
La Jolla Institute for Immunology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Four years post-pandemic, SARS-CoV-2 continues to affect many lives across the globe. An estimated 65 million people suffer from long COVID, a term used to encapsulate the post-acute sequelae of SARS-CoV-2 infections that affect multiple organ systems. Known symptoms include chronic fatigue syndrome, brain fog, cardiovascular issues, autoimmunity, dysautonomia, and clotting due to inflammation. Herein, we review long COVID symptoms, the proposed theories behind the pathology, diagnostics, treatments, and the clinical trials underway to explore treatments for viral persistence, autonomic and cognitive dysfunctions, sleep disturbances, fatigue, and exercise intolerance.

Indexed as

artificial intelligenceautoimmunitychronic fatigue syndromelong COVID (LC)machine learningpost-acute sequelae of SARS-CoV-2 (PASC)precisionSARS-CoV-2

Identifiers

PMID38611624
PMCPMC11011397
OpenAlexW4393279360

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.