Evidence map›Paper›PMID 34363413›Full record

ArticleJournal of clinical laboratory analysis2021

Combined procalcitonin and hemogram parameters contribute to early differential diagnosis of Gram-negative/Gram-positive bloodstream infections.

Qiqing Gao, Zhuohong Li, Xichao Mo, Yihua Wu, Hao Zhou, Jie Peng

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2021. 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
2.1field-weighted citation impact, top 12% 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, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Predictive Value of Procalcitonin and Neutrophil-to-Lymphocyte Ratio Variations for Bloodstream Infection with Septic Shock.Medical science monitor : international medical journal of experimental and clinical research · 2022
    Article
  8. Article
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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

6 authors at 1 institution in 1 country.

Qiqing GaoDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0002-4821-6826
Zhuohong LiDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xichao MoDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yihua WuDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Hao ZhouDepartment of Hospital Infection Management of Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jie PengDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0003-0928-3134
Nanfang Hospital · CN

Funding

National Natural Science Foundation of China 81971949Natural Science Foundation of Guangdong Province 2018A030313102
6 · The paper itself

Abstract

backgroundHemogram parameters and procalcitonin (PCT) play auxiliary roles in the diagnosis and outcome of sepsis. However, it is not clear whether these indicators can quickly distinguish bacterial classification or guide the choice of empirical antibiotics.

methodsWe retrospectively enrolled 381 patients with bloodstream infections (BSI), divided into Gram-positive bloodstream infections (GP-BSI) and Gram-negative bloodstream infections (GN-BSI). Demographic parameters, hemogram parameters, and PCT were recorded and compared between the two groups.

resultsThe mean platelet volume (MPV), platelet distribution width (PDW), and PCT in the GN-BSI group were significantly higher than those in the GP-BSI group, while the platelet count (PLT), plateletcrit, platelet count-to-white blood cell count ratio (PWR), platelet count-to-neutrophil count ratio (PNR), platelet count-to-PCT ratio (PLT/PCT), and mean platelet volume-to-PCT ratio (MPV/PCT) were significantly lower in the GN-BSI group. Multivariate stepwise logistic regression analysis revealed that the independent predictors of GN-BSI were MPV, PWR, and PCT. The areas under the curve (AUC) for this prediction model was 0.79, with sensitivity =0.75 and specificity =0.71.

conclusionsThere were significant differences in terms of PCT, platelet parameters, and platelet-related index-PCT ratio between GN-BSI and GP-BSI. Combined PCT and hemogram parameters are more conducive to the early differential diagnosis of bacterial classification of BSI.

Indexed as

Area Under CurveBlood PlateletsDiagnosis, DifferentialFemaleGram-Negative BacteriaGram-Negative Bacterial InfectionsGram-Positive BacteriaGram-Positive Bacterial InfectionsHumansMaleMiddle AgedProcalcitoninRetrospective StudiesSepsisProcalcitoninGram-negative bloodstream infectionmean platelet volumeplatelet-related indexpredictive significanceprocalcitoninsepsis

Identifiers

PMID34363413
PMCPMC8418508
OpenAlexW3189130205

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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.