Evidence map›Paper›PMID 28143490›Full record

ArticleBMC pediatrics2017

Pathogenic bacteria distributions and drug resistance analysis in 96 cases of neonatal sepsis.

Huaifu Dong, Huiping Cao, Haiyan Zheng

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 37 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Observational
  14. Article
  15. Article
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

3 authors at 2 institutions in 1 country.

Huaifu DongDepartment of Pediatrics, the First Affiliated Hospital of Bengbu Medical College, Bengbu, 233004, Anhui, China.
Huiping CaoDepartment of Pediatrics, the Third People's Hospital of Bengbu, Bengbu, 233000, Anhui, China.
Haiyan ZhengDepartment of Nursing, the First Affiliated Hospital of Bengbu Medical College, Bengbu, 233004, Anhui, China. haiyanzhengcn@163.com.
First Affiliated Hospital of Bengbu Medical College · CNBengbu Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to summarize common pathogens and associated drug resistance in neonatal sepsis (NS).

methodsBlood culture and drug sensitivity results from 96 NS cases treated from January 2010 to August 2014 were retrospectively analyzed.

resultsA total of 97 pathogenic bacteria were detected from these 96 NS cases; Gram-positive cocci accounted for 76.3% of the cases, among which 70.1% involved coagulase-negative staphylococcus (CONS), whereas Gram-negative bacilli and fungi accounted for 19.6% and fungi 4.1% of cases, respectively. Gram-positive cocci exhibited a higher penicillin resistance rate and full vancomycin sensitivity, whereas Gram-negative bacilli exhibited a higher cephalosporin resistance rate, low meropenem resistance rate (6.7%), and no resistance to amikacin.

conclusionsThe main causative pathogens of NS in our hospital were Gram-positive cocci, among which coagulase-negative Staphylococcus spp such as S. epidermidis and S. haemolyticus were the main conditional pathogens; among Gram-negative pathogens, Klebsiella pneumoniae were most frequently isolated and showed widespread resistance to penicillins and cephalosporins.

Indexed as

Drug Resistance, BacterialChinaFemaleGram-Negative Bacterial InfectionsGram-Positive Bacterial InfectionsHumansInfant, NewbornMaleMicrobial Sensitivity TestsNeonatal SepsisRetrospective StudiesDrug resistanceNeonatal sepsisPathogen

Identifiers

PMID28143490
PMCPMC5286853
OpenAlexW2583379698

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.