Evidence mapPaperPMID 40979498Full record

ArticleJournal of inflammation research2025

Correlation Between Immune-Inflammatory Biomarkers During Pregnancy and Postpartum and Adverse Outcomes of Preeclampsia: A Longitudinal Retrospective Analysis.

Xinke Guo, Weimin Tao, Qingsong Zhao, Cuicui Qu, Xiang Li, Xiaoru Sun, Zhendong Xu

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

7 authors.

Xinke Guo *Department of Intensive Care Unit, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, People's Republic of China.ORCID 0009-0005-8068-3028
Weimin Tao *Department of Intensive Care Unit, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, People's Republic of China.
Qingsong ZhaoDepartment of Anesthesiology, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, People's Republic of China.
Cuicui QuDepartment of Intensive Care Unit, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, People's Republic of China.
Xiang LiDepartment of Intensive Care Unit, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, People's Republic of China.
Xiaoru SunDepartment of Intensive Care Unit, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, People's Republic of China.
Zhendong XuDepartment of Intensive Care Unit, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Preeclampsia (PE) is a pregnancy-specific hypertensive disorder linked to systemic inflammation. The systemic immune-inflammation index (SII), calculated from neutrophil, lymphocyte, and platelet counts, has emerged as a novel immune activation marker. Its longitudinal changes in pregnancy and predictive performance for adverse outcomes in PE are not well established. Methods: This retrospective cohort study included 692 clinical records of women with PE who delivered at Shanghai First Maternity and Infant Hospital between January 2019 and June 2024, representing 685 unique patients, 7 of whom delivered twice. SII, systemic inflammatory response index (SIRI), other inflammatory indices, and biochemical parameters were measured at four time points: the first, second, and third trimesters, and the postpartum. Linear mixed-effects models evaluated longitudinal trends, and random intercepts were used as predictors in logistic regression models assessing adverse pregnancy outcomes. All two-and three-biomarker combinations were evaluated, and DeLong's test (α = 0.05) was used to compare the area under the Receiver Operating Characteristic (ROC) curves and AUC values of each combination with that of the best single-biomarker model. Results: Among the 692 records of women with PE, 204 (29.5%) experienced adverse pregnancy outcomes. SII showed an overall increasing trend during pregnancy and demonstrated moderate predictive performance (AUC = 0.666). The combination model including SII, alanine transaminase (ALT), and creatinine (Cr) achieved the highest predictive performance (AUC = 0.712, 95% CI: 0.669-0.755, Conclusion: SII followed an overall increasing trend during pregnancy in patients with PE and was associated with adverse pregnancy outcomes. Combining SII with ALT and Cr improved predictive performance and may be a practical tool for clinical monitoring and early intervention.

Indexed as

adverse pregnancy outcomesinflammationpreeclampsiasystemic immune-inflammation index

Identifiers

PMID40979498
PMCPMC12449271

What Socratic holds

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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 Socratic graph.