Evidence map›Paper›PMID 41676059›Full record

ArticleFrontiers in microbiology2026

Neutrophil CD64 index for rapid diagnosis of

Xiaoming Li, Hongyu Yi, Guixin Wu, Aiting He, Rui Li, Yi Long, Changhai Lin, Zhengying Jiang

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Xiaoming Li *Department of Critical Care Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Hongyu Yi *Department of Critical Care Medicine, General Hospital of Tibet Military Command, Lhasa, China.
Guixin WuDepartment of Critical Care Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Aiting HeDepartment of Critical Care Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Rui LiDepartment of Critical Care Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Yi LongDepartment of Critical Care Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Changhai LinDepartment of Laboratory, Chongqing University Cancer Hospital, Chongqing, China.
Zhengying JiangDepartment of Critical Care Medicine, Chongqing University Cancer Hospital, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: This retrospective cohort study (July 2022-March 2025) analyzed mechanically ventilated malignancy patients with unexplained diffuse pulmonary infiltrates at a tertiary intensive care unit (ICU). PJP diagnosis required predefined clinical, radiological, and bronchoalveolar lavage fluid metagenomic next-generation sequencing (BALF mNGS) criteria. The nCD64 index was measured via flow cytometry at ICU admission and serially after ≥3 days of anti-PJP therapy. Diagnostic performance for PJP and prognostic value for 28-day mortality were assessed. Results: Among 28 PJP and 38 non-PJP patients, nCD64 index was significantly higher in PJP (13.33 vs. 2.84, Conclusion: The nCD64 index functions as a dual-purpose biomarker for malignancy patients with respiratory failure requiring mechanical ventilation: it provides a rapid, non-invasive diagnostic tool for PJP and dynamically stratifies mortality risk. Moreover, dynamic tracking offers a real-time window into treatment response, guiding therapeutic decisions.

Indexed as

biomarkerdiagnosisneutrophil CD64Pneumocystis jirovecii pneumoniaprognosis

Identifiers

PMID41676059
PMCPMC12886426

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.