Evidence map›Paper›PMID 42416054›Full record

ArticleFrontiers in immunology2026

Immunoglobulin G

Huachen Wang, Yan Zhang, Anlu Ouyang, Tao Wang, Hongda Hou, Haifeng Hou, Bing Chen

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

7 authors.

Huachen Wang *Institute of Infectious Diseases, The Second Hospital of Tianjin Medical University, Tianjin, China.
Yan Zhang *School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China.
Anlu Ouyang *School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China.
Tao Wang *School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China.
Hongda HouInstitute of Infectious Diseases, The Second Hospital of Tianjin Medical University, Tianjin, China.
Haifeng HouSchool of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China.
Bing ChenInstitute of Infectious Diseases, The Second Hospital of Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis remains a critical global health challenge with high mortality. Rapid distinction between Gram-positive and Gram-negative pathogens is critical for empiric antibiotic selection, yet reliable biomarkers for such pathogen stratification are lacking. Immunoglobulin G (IgG) Methods: In this nested case-control study, 180 septic patients (100 Gram-negative, 80 Gram-positive) and 100 healthy controls were enrolled. IgG Results: In patients with Gram-negative sepsis, levels of 12 glycan peaks (A2B, M5, A2G1, FA2[3]G1, FA2[3]BG1, A2G2, A2BG2, FA2G2, A2G2S1, FA2G2S1, A2G2S2, A2BG2S2) were significantly decreased, while levels of FA1, A2, FA2, FA2B, FA2BG2, and FA2FG2S1 were increased (all Conclusion: IgG

Indexed as

Gram-Negative BacteriaGram-Negative Bacterial InfectionsGram-Positive BacteriaImmunoglobulin GSepsisAgedBiomarkersCase-Control StudiesFemaleGlycosylationHumansMaleMiddle AgedPrognosisROC CurveBiomarkersImmunoglobulin Gbiomarkerglycosylationimmunoglobulin Ginflammationsepsis

Identifiers

PMID42416054
PMCPMC13337443

What Socratic 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 Socratic graph.