Evidence map›Paper›PMID 23108494›Full record

ReviewJournal of anesthesia2013

Clinical application of sepsis biomarkers.

Vinoth Sankar, Nigel R Webster

Registry-linked trialOpen access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Journal of anesthesia, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07248527 (PAN-ICIS), which is not on this map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 4% 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.

NCT07248527 active not recruitingnot on this mapstarted 2025, after this paper: background citation

PAN-ICIS: Prospective Observational Study Evaluating the Intensive Care Infection Score for Early Detection of Infectious Complications After Pancreatic Resections

TypeobservationalSponsorCharles University, Czech RepublicRan2025 to 2028Enrolled400ConditionsPancreatectomy, Pancreatic Surgery, Intensive Care (ICU), Inflamatory Markers
3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 93 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. From sepsis biomarker discovery to regulatedFrontiers in medical technology · 2026
    Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Real-Time,ACS sensors · 2022
    Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Screening key genes and microRNAs in sepsis by RNA-sequencing.Journal of the Chinese Medical Association : JCMA · 2020
    Article
  15. Cognitive Biases in the Era of COVID-19 : A Case ofCase reports in infectious diseases · 2020
    Article
  16. Article
  17. Article
  18. Review
  19. Biomarkers in Pneumonia-Beyond Procalcitonin.International journal of molecular sciences · 2019
    Review
  20. 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 at 1 institution in 1 country.

Vinoth SankarIntensive Care Unit, Aberdeen Royal Infirmary, Aberdeen AB25 2ZN, UK. vinothsankar@nhs.net
Nigel R Webster
Aberdeen Royal Infirmary · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is one of the leading causes of death in the critically ill. Early diagnosis is important to avoid delay in instituting appropriate treatment. However, diagnosis can be delayed because of difficulty in interpreting clinical features. Sepsis biomarkers can aid early diagnosis. This article reviews the application of readily available biomarkers for diagnosis of sepsis, for predicting prognosis, and for antibiotic stewardship. 178 biomarkers are described in the literature--ranging from specimen cultures, which lack sensitivity and specificity for early diagnosis of sepsis, to biomarkers such as C-reactive protein, procalcitonin, and genetic biomarkers, which have their own limitations. Future research will mainly focus on use of more than one biomarker, but the main problem in sepsis biomarker research seems to be a lack of a recommended biomarker.

Indexed as

Antigens, BacterialBiomarkersBlood Cell CountCalcitoninCalcitonin Gene-Related PeptideC-Reactive ProteinCritical IllnessGenomeHumansPredictive Value of TestsPrognosisProtein PrecursorsProteomicsReceptors, ImmunologicSepsisTreatment OutcomeAntigens, BacterialBiomarkersCALCA protein, humanCalcitoninCalcitonin Gene-Related PeptideC-Reactive ProteinProtein PrecursorsReceptors, ImmunologicTREML1 protein, human

Identifiers

PMID23108494
OpenAlexW2082183054

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.