Evidence map›Paper›PMID 39217429›Full record

ArticleBiomolecules & biomedicine2025

Predictive and prognostic value of preoperative pan-immune-inflammation value in patients with locally advanced rectal cancer.

Peipei Shen, Yu Xu, Jiahao Zhu, Danqi Qian, Bo Yang, Yong Mao, Shengjun Ji, Ke Gu, Yutian Zhao

Abstract read
In one paragraph

Article in Biomolecules & biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. 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

9 authors.

Peipei ShenDepartment of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, China; Wuxi Clinical Cancer Center, Wuxi, China.
Yu XuDepartment of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, China; Wuxi Clinical Cancer Center, Wuxi, China.
Jiahao ZhuDepartment of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, China; Wuxi Clinical Cancer Center, Wuxi, China.
Danqi QianDepartment of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, China; Wuxi Clinical Cancer Center, Wuxi, China.
Bo YangDepartment of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, China; Wuxi Clinical Cancer Center, Wuxi, China.
Yong MaoDepartment of Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, China; Wuxi Clinical Cancer Center, Wuxi, China.
Shengjun JiDepartment of Radiotherapy and Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou, China.
Ke GuDepartment of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, China; Wuxi Clinical Cancer Center, Wuxi, China.
Yutian ZhaoDepartment of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, China; Wuxi Clinical Cancer Center, Wuxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the prognostic value of the pan-immune-inflammation value (PIV) in patients with locally advanced rectal cancer (LARC) who received neoadjuvant chemoradiotherapy (nCRT) followed by total mesorectal excision. We retrospectively collected and analyzed the clinicopathological data of 215 resected LARC patients. X-tile software was used to determine the optimal threshold value for PIV in predicting overall survival (OS). The predictive ability of PIV for pathological complete regression (pCR), OS, and disease-free survival (DFS) was evaluated and compared with other inflammation markers. Univariate and multivariate logistic regression analyses for pCR and Cox regression analyses for OS and DFS were conducted. The optimal threshold value for PIV was determined to be 454.7 based on the X-tile software. Patients were then categorized into low (≤ 454.7) and high (> 454.7) PIV groups comprising 153 and 62 patients, respectively. PIV demonstrated superior predictive ability for pCR, OS, and DFS compared to other inflammation markers. LARC patients with low PIV had significantly higher pCR (P = 0.029), OS (P = 0.002), and DFS (P = 0.001) rates compared to those with high PIV. Multivariate regression analysis identified PIV as an independent prognostic factor for pCR (odds ratio = 0.32; 95% confidence interval [CI], 0.10-0.80; P = 0.014), OS (hazard ratio = 3.08; 95% CI, 1.77-5.35; P = 0.001), and DFS (hazard ratio = 2.53; 95% CI, 1.58-4.06; P = 0.002). This study confirmed that preoperative PIV could serve as a useful independent prognostic factor in LARC patients treated with nCRT.

Indexed as

InflammationRectal NeoplasmsAdultAgedBiomarkers, TumorDisease-Free SurvivalFemaleHumansMaleMiddle AgedNeoadjuvant TherapyPrognosisRetrospective StudiesBiomarkers, Tumor

Identifiers

PMID39217429
PMCPMC11984369

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.