Evidence map›Paper›PMID 34048017›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2021

Sepsis Biomarkers.

Yachana Kataria, Daniel Remick

Abstract readReview
PubMed Publisher
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. NAMPT-associated gene signature in the prediction of severe sepsis.American journal of translational research · 2022
    Article
  15. Review
  16. Review
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.

Yachana KatariaDepartment of Pathology and Laboratory Medicine, Boston School of Medicine, Boston, MA, USA. Yachana.Kataria@bmc.org.
Daniel RemickDepartment of Pathology and Laboratory Medicine, Boston School of Medicine, Boston, MA, USA. Daniel.Remick@bmc.org.

Funding

Mechanisms of augmented host defenses after mild brain injuryR01GM117519 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI REMICK, DANIEL G. · 2017 to 2017
$247k
NIGMS NIH HHS R01 GM117519
6 · The paper itself

Abstract

Biomarkers have been used in sepsis to assist with the diagnosis of disease as well as determining the severity of disease, that is, prognosis. These biomarkers are based on the presence of discrete molecules within the blood. Unfortunately, in 2020, a single biomarker does not have sufficient sensitivity and specificity to definitively rule in or rule out sepsis. Biomarkers have shown better performance in animal models of disease.

Indexed as

AnimalsBiomarkersHumansPrognosisSensitivity and SpecificitySepsisSeverity of Illness IndexBiomarkersAntibioticsC-reactive proteinIL-6ProcalcitoninSepsis

Identifiers

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.