Evidence map›Paper›PMID 40898272›Full record

ArticleVirology journal2025

Author's response to the letter "From correlation to causation: unraveling the role of long non-coding RNAs in COVID-19 pathogenesis".

Sara Fayazzadeh, Raheleh Heydari, Anna Meyfour

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in Virology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sara FayazzadehBasic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Raheleh HeydariBasic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Anna MeyfourBasic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran. a.meyfour@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A recent letter to the editor, from correlation to causation: unraveling the role of long non-coding RNAs in COVID-19 pathogenesis, provided recommendations and suggestions concerning our published paper, Long non-coding RNAs in Biomarking COVID-19: A Machine Learning-Based Approach (2024). The comments focused primarily on future directions. In this response, we clarify and emphasize the rationale underlying our original approach.

Indexed as

COVID-19RNA, Long NoncodingSARS-CoV-2HumansMachine LearningRNA, Long NoncodingBiomarkerCOVID_19LncRNAsMachine learningScreening

Identifiers

PMID40898272
PMCPMC12403367

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.