Evidence map›Paper›PMID 24777884›Full record

ArticleInflammation2014

High serum trypsin levels and the -409 T/T genotype of PRSS1 gene are susceptible to neonatal sepsis.

Qingquan Chen, Heng Xue, Min Chen, Feng Gao, Jianping Xu, Qicai Liu, Xiulin Yang, Lie Zheng, Hong Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Inflammation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 2 institutions in 1 country.

Qingquan ChenDepartment of Laboratory Medicine, Medical Technology and Engineering College, Fujian Medical University, 350004, Fuzhou, People's Republic of China.
Heng Xue
Min Chen
Feng Gao
Jianping Xu
Qicai Liu
Xiulin Yang
Lie Zheng
Hong Chen
Fujian Medical University · CNFirst Affiliated Hospital of Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neonatal sepsis remains an important and common cause of morbidity and mortality among newborn infants, especially in developing countries. The aim of the present study was to determine whether serum trypsin levels and genotypes of cationic trypsinogen (PRSS1) gene could be served as markers for predicting neonatal sepsis. The serum trypsin levels and genotypes of PRSS1 were examined in both 50 infants with infection during neonatal period and 56 healthy neonates as controls. The infected infants were further subdivided into infants with sepsis group (n=18) and infected infants without sepsis (n=32). The genotype of PRSS1 was analyzed by direct sequencing, and the serum trypsin level was measured by immunoassay. It showed that the median value of serum trypsin was significantly higher in infected infants (31.90 ng/mL) than in controls (12.85 ng/mL; P=0.030). More importantly, sepsis subgroup (50.95 ng/mL) had significantly higher median serum trypsin than infected infants without sepsis subgroup (19.10 ng/mL) and controls (12.85 ng/mL) (P=0.015 and P=0.002, respectively). Additionally, the median serum trypsin levels were found significantly higher in infants who had T/T (37.90 ng/mL) genotype of PRSS1 compared with those who had C/T genotype (12.80 ng/mL; P=0.005). This study suggested that serum trypsin and rs10273639 C/T of PRSS1 were revealed to be novel markers for predicting neonatal sepsis.

Indexed as

GenotypeBiomarkersFemaleGenetic Predisposition to DiseaseHumansInfant, NewbornMaleSepsisTrypsinBiomarkersPRSS1 protein, humanTrypsin

Identifiers

PMID24777884
OpenAlexW1978702166

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.