Evidence map›Paper›PMID 42327752›Full record

ArticleFrontiers in immunology2026

Risk stratification and source classification in

Qiangsheng Feng, Xiaoqin Ha, Yuejuan Song

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Qiangsheng FengDepartment of Clinical Laboratory, The 940th Hospital of Joint Logistics Support Force of People's Liberation Army, Lanzhou, China.
Xiaoqin HaDepartment of Clinical Laboratory, The 940th Hospital of Joint Logistics Support Force of People's Liberation Army, Lanzhou, China.
Yuejuan SongDepartment of Clinical Laboratory, The 940th Hospital of Joint Logistics Support Force of People's Liberation Army, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods: We conducted a retrospective study of 321 Results: Among 3,516 bloodstream infections, 321 episodes of Conclusion: This study establishes high-accuracy biomarkers (PCT/WBC) and key mortality predictors for

Indexed as

BacteremiaMethicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsAgedAged, 80 and overAnti-Bacterial AgentsBiomarkersFemaleHospital MortalityHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentTreatment OutcomeAnti-Bacterial AgentsBiomarkersBSIsclinical characteristicsmortalityrisk factorsS. aureussurvival analysis

Identifiers

PMID42327752
PMCPMC13278954

What OpenQuestion holds

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LicenceCC BY
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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.