Evidence map›Paper›PMID 35134628›Full record

ArticleImmunobiology2022

Patients with moderate to severe COVID-19 have an impaired cytokine response with an exhausted and senescent immune phenotype.

Ashwin D Dhanda, Dan Felmlee, Paula Boeira, Prebashan Moodley, Huey Tan, Leticia De Paula Scalioni, Kristen Lilly, David A Sheridan, Matthew E Cramp

Abstract read
In one paragraph

Article in Immunobiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. Observational
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

9 authors.

Ashwin D DhandaSouth West Liver Unit, University Hospitals Plymouth NHS Trust, Plymouth, UK; Hepatology Research Group, Faculty of Health, University of Plymouth, Plymouth, UK. Electronic address: ashwin.dhanda@plymouth.ac.uk.
Dan FelmleeHepatology Research Group, Faculty of Health, University of Plymouth, Plymouth, UK. Electronic address: daniel.felmlee@plymouth.ac.uk.
Paula BoeiraHepatology Research Group, Faculty of Health, University of Plymouth, Plymouth, UK. Electronic address: paula.boeira@plymouth.ac.uk.
Prebashan MoodleySouth West Liver Unit, University Hospitals Plymouth NHS Trust, Plymouth, UK; Hepatology Research Group, Faculty of Health, University of Plymouth, Plymouth, UK. Electronic address: p.moodley@nhs.net.
Huey TanSouth West Liver Unit, University Hospitals Plymouth NHS Trust, Plymouth, UK; Hepatology Research Group, Faculty of Health, University of Plymouth, Plymouth, UK. Electronic address: huey.tan@plymouth.ac.uk.
Leticia De Paula ScalioniHepatology Research Group, Faculty of Health, University of Plymouth, Plymouth, UK.
Kristen LillySouth West Liver Unit, University Hospitals Plymouth NHS Trust, Plymouth, UK; Hepatology Research Group, Faculty of Health, University of Plymouth, Plymouth, UK. Electronic address: kristenlilly@nhs.net.
David A SheridanSouth West Liver Unit, University Hospitals Plymouth NHS Trust, Plymouth, UK; Hepatology Research Group, Faculty of Health, University of Plymouth, Plymouth, UK. Electronic address: david.sheridan@plymouth.ac.uk.
Matthew E CrampSouth West Liver Unit, University Hospitals Plymouth NHS Trust, Plymouth, UK; Hepatology Research Group, Faculty of Health, University of Plymouth, Plymouth, UK. Electronic address: matthew.cramp@nhs.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19CytokinesHumansImmunophenotypingPhenotypeSARS-CoV-2Cytokines

Identifiers

PMID35134628
PMCPMC8813783

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.