Evidence map›Paper›PMID 31606902›Full record

ArticleImmunology2020

Zoledronate rescues immunosuppressed monocytes in sepsis patients.

Loïc Raffray, Ross J Burton, Sarah E Baker, Matt P Morgan, Matthias Eberl

Open access · hybridAbstract read
In one paragraph

Article in Immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
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  7. Unconventional T cells and kidney disease.Nature reviews. Nephrology · 2021
    Review
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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

5 authors at 3 institutions in 2 countries.

Loïc RaffrayDivision of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK.
Ross J BurtonDivision of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK.
Sarah E BakerDivision of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK.
Matt P MorganDirectorate of Critical Care, Cardiff & Vale University Health Board, University Hospital of Wales, Cardiff, UK.
Matthias EberlDivision of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK.ORCID 0000-0002-9390-5348
Cardiff University · GBCardiff and Vale University Health Board · GBCentre Hospitalier Universitaire de La Réunion · FR

Funding

Medical Research Council MC_PC_13060Medical Research Council MR/N023145/1Wellcome Trust
6 · The paper itself

Abstract

Severe sepsis is often accompanied by a transient immune paralysis, which is associated with enhanced susceptibility to secondary infections and poor clinical outcomes. The functional impairment of antigen-presenting cells is considered to be a major hallmark of this septic immunosuppression, with reduced HLA-DR expression on circulating monocytes serving as predictor of mortality. Unconventional lymphocytes like γδ T-cells have the potential to restore immune defects in a variety of pathologies including cancer, but their use to rescue sepsis-induced immunosuppression has not been investigated. Our own previous work showed that Vγ9/Vδ2

Indexed as

AdultAgedAged, 80 and overCase-Control StudiesFemaleHLA-DR AntigensHumansImmunologic FactorsInterferon-gammaMaleMiddle AgedMonocytesReceptors, Antigen, T-Cell, gamma-deltaSepsisT-LymphocytesTumor Necrosis Factor-alphaHLA-DR AntigensIFNG protein, humanImmunologic FactorsInterferon-gammaReceptors, Antigen, T-Cell, gamma-deltaTNF protein, humanTumor Necrosis Factor-alphaZoledronic Acidgammadelta T-cellsimmunosuppressionmonocytessepsiszoledronate

Identifiers

PMID31606902
PMCPMC6904622
OpenAlexW2979310195

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.