Evidence map›Paper›PMID 26159431›Full record

ReviewIrish journal of medical science2015

Procalcitonin: present and future.

H H Liu, J B Guo, Y Geng, L Su

Abstract readReview
PubMed Publisher
In one paragraph

Review in Irish journal of medical science, 2015. 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
2.0field-weighted citation impact, top 14% 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, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Observational
  8. Review
  9. 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

4 authors at 3 institutions in 1 country.

H H LiuDepartment of Emergency, Zhongshan Hospital, Xiamen University, Xiamen, China, lena_8888666@163.com.
J B Guo
Y Geng
L Su
General Hospital of Guangzhou Military Command · CNXiamen Chang Gung Hospital · CNZhongshan Hospital of Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Critically ill patients are frequently at risk of sepsis or inflammatory conditions. Procalcitonin (PCT) is a biomarker for critically ill patients to differentiate sepsis from non-infectious triggers of the systemic inflammatory response syndrome. It has been recently shown that PCT is a valuable tool to guide antibiotic treatment in patients with bacteria infections. However, PCT is also less than a universal and perfect biomarker, and its physiologic role remains unknown. An increase in PCT is associated not only with localized bacterial infection, but also with non-infectious disease or other microbial infections. Numerous studies have suggested that use of PCT would reduce patients' exposure to antibiotics; however, the use of PCT-guided management of antibiotics strategy needs further study to validate their safety in daily practice in ICU settings. Data supporting this concept from randomized trials are still required. Future studies should focus on PCT kinetics. On the other hand, the need for biologic role of PCT shall be highlighted. Immunoneutralization of PCT will likely be a therapeutic approach for human sepsis only if its physiologic effects are elaborated. The aim of this review is to summarize and discuss the current evidence for PCT in a series of clinical settings.

Indexed as

AnimalsAnti-Bacterial AgentsBacterial InfectionsBiomarkersCalcitoninCalcitonin Gene-Related PeptideCritical IllnessHumansProtein PrecursorsSepsisAnti-Bacterial AgentsBiomarkersCALCA protein, humanCalcitoninCalcitonin Gene-Related PeptideProtein Precursors

Identifiers

PMID26159431
OpenAlexW750763887

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.