Evidence map›Paper›PMID 37711203›Full record

SynthesisFrontiers in oncology2023

Clinical utility of the pan-immune-inflammation value in breast cancer patients.

Xiaoyan Qi, Boyang Qiao, Tingting Song, Dan Huang, Hui Zhang, Yang Liu, Qi Jin, Ming Yang, Delong Liu

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. CALLY index as an independent predictor of pathological complete response in HER2-positive breast cancer receiving neoadjuvant therapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

9 authors.

Xiaoyan QiDepartment of Breast Surgery, Liaoning Cancer Hospital & Institution, Shenyang, Liaoning, China.
Boyang QiaoSchool of Pharmaceutical Sciences, Wuhan University, Wuhan, China.
Tingting SongDepartment of Breast Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, China.
Dan HuangDepartment of Breast Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, China.
Hui ZhangDepartment of Breast Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, China.
Yang LiuDepartment of Breast Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, China.
Qi JinDepartment of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun, China.
Ming YangDepartment of Breast Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, China.
Delong LiuDepartment of Thoracic Surgery, Liaoning Cancer Hospital & Institution, Shenyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The newly discovered pan-immune-inflammation value (PIV) has been illustrated to have good prognostic value for cancer patient prognosis. However, the prognostic usefulness of PIV in breast cancer patients is unknown. As a result, to aid the clinic in providing a distinctive and trustworthy biomarker to better assess breast cancer patient's prognosis, we conducted this meta-analysis to investigate the relationship between PIV and the survival of breast cancer patients. Methods: We conducted a systematic search of Pubmed, Embase, the Cochrane Library, and the CNKI databases to screen for eligible studies published up to April 2023. Outcomes included overall survival (OS), progression-free survival (PFS), and pathological complete response (pCR). The hazard ratio (HR) and the corresponding 95% confidence interval (CI) were used as the indicators. STATA 15.0 software was used to perform meta-analysis, sensitivity analysis, and publication bias analysis. Results: A total of eight articles, involving 2953 patients, met the inclusion criteria and were included in this meta-analysis. The results showed that patients with higher PIV levels had a significantly shorter OS (HR: 2.045, 95% CI: 1.355-3.086, Conclusions: PIV has a good prognostic value in breast cancer patients and is expected to be a prognostic biomarker for breast cancer.

Indexed as

breast cancerclinical utilitymeta-analysispan-immune-inflammation valueprognosis

Identifiers

PMID37711203
PMCPMC10499041

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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.