Evidence map›Paper›PMID 26727230›Full record

ReviewThe Journal of clinical investigation2016

Sepsis-induced immune dysfunction: can immune therapies reduce mortality?

Matthew J Delano, Peter A Ward

Open access · bronzeAbstract readReview
In one paragraph

Review in The Journal of clinical investigation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 391 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
391citing papers in PubMed, 2 pooled it
41.7field-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

391 citing papers in PubMed, 2 syntheses or guidelines pooled it, 631 citations in OpenAlex.

  1. Pooled it
  2. Calprotectin as a diagnostic marker for sepsis: A meta-analysis.Frontiers in cellular and infection microbiology · 2022
    Pooled it
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331 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 1 institution in 1 country.

Matthew J Delano
Peter A Ward
University of Michigan–Ann Arbor · US

Funding

Regulation of Lung Inflammation by Catecholamines and Adrenergic ReceptorsR01GM029507 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WARD, PETER A · 1985 to 2013
$3.9M
Protective Effects of Anti-C5a in SepsisR01GM061656 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WARD, PETER A · 2002 to 2013
$3.8M
LUNG INJURY BY OXYGEN METABOLITESR37GM029507 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WARD, PETER A · 1987 to 1996
–
NIGMS NIH HHS GM-29507NIGMS NIH HHS GM-61656NIGMS NIH HHS R01 GM029507NIGMS NIH HHS R01 GM061656NIGMS NIH HHS R37 GM029507
6 · The paper itself

Abstract

Sepsis is a systemic inflammatory response induced by an infection, leading to organ dysfunction and mortality. Historically, sepsis-induced organ dysfunction and lethality were attributed to the interplay between inflammatory and antiinflammatory responses. With advances in intensive care management and goal-directed interventions, early sepsis mortality has diminished, only to surge later after "recovery" from acute events, prompting a search for sepsis-induced alterations in immune function. Sepsis is well known to alter innate and adaptive immune responses for sustained periods after clinical "recovery," with immunosuppression being a prominent example of such alterations. Recent studies have centered on immune-modulatory therapy. These efforts are focused on defining and reversing the persistent immune cell dysfunction that is associated with mortality long after the acute events of sepsis have resolved.

Indexed as

ImmunotherapyAnimalsDendritic CellsHumansLymphocytesMacrophagesMonocytesMyeloid CellsNeutrophilsSepsis

Identifiers

PMID26727230
PMCPMC4701539
OpenAlexW2223946157

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.