Evidence map›Paper›PMID 31854218›Full record

ArticleThe Journal of international medical research2020

Combination of 16S rRNA and procalcitonin in diagnosis of neonatal clinically suspected sepsis.

Renqiang Yu, Qin Zhou, Shanyu Jiang, Yingzi Mei, Min Wang

RetractedAbstract readRetracted Publication
In one paragraph

Article in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Retraction.The Journal of international medical research · 2025
    Article
  4. Group BAntibiotics (Basel, Switzerland) · 2023
    Review
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Renqiang YuDepartment of Neonatology, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi, China.
Qin ZhouDepartment of Neonatology, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi, China.ORCID https://orcid.org/0000-0002-0126-8741
Shanyu JiangDepartment of Neonatology, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi, China.
Yingzi MeiDepartment of Neonatology, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi, China.
Min WangDepartment of Neonatology, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi, China.ORCID https://orcid.org/0000-0003-1702-794X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the application of 16S rRNA in diagnosing patients with neonatal sepsis.

methodsWe studied 60 consecutive neonatal patients with clinically suspected sepsis and 20 non-infective cases as controls. All patients were diagnosed with sepsis by clinical and experimental criteria. Clinical characteristics were recorded and 16S rRNA sequencing was conducted for all patients. The sensitivity, specificity, and accuracy of the detection methods were analyzed.

resultsThe detection limit of 16S rRNA sequencing was 1 × 10

conclusionDetection of 16S rRNA has high sensitivity and specificity in diagnosing sepsis. The combination of 16S rRNA and procalcitonin has even better sensitivity with acceptable specificity.

Indexed as

Neonatal SepsisSepsisHumansInfant, NewbornProcalcitoninRNA, Ribosomal, 16SSensitivity and SpecificityProcalcitoninRNA, Ribosomal, 16S16S rRNAblood culturediagnosisEscherichia colineonatal sepsisprocalcitonin

Identifiers

PMID31854218
PMCPMC7782951

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Registered trials

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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.