Evidence map›Paper›PMID 35342416›Full record

ArticleJournal of oncology2022

Analysis of a Systemic Inflammatory Biomarker in Advanced Bile Tract Carcinoma Treated with Anti-PD-1 Therapy: Prognostic and Predictive Significance of Lung Immune Prognostic Index Score.

Yuting Pan, Hanyan Si, Ru Jia, Guochao Deng, Huan Yan, Mengjia Fan, Miaomiao Gou, Shiyun Chen, Nan Zhang, Yue Shi and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 29% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

12 authors at 3 institutions in 1 country.

Yuting PanMedical Oncology Department, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0002-1039-7828
Hanyan SiMedical Oncology Department, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0002-7811-5495
Ru JiaMedical Oncology Department, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China.
Guochao DengMedical Oncology Department, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China.
Huan YanMedical Oncology Department, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0001-7966-0359
Mengjia FanMedical Oncology Department, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0003-1951-0943
Miaomiao GouMedical Oncology Department, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0001-9622-1198
Shiyun ChenMedical Oncology Department, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0002-7976-9335
Nan ZhangMedical Oncology Department, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China.
Yue ShiMedical Oncology Department, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China.
Niansong QianThe Hainan Medical Center, Chinese PLA General Hospital, Sanya 572000, China.ORCID https://orcid.org/0000-0002-3297-4294
Guanghai DaiChinese People's Liberation Army Medical School, Beijing 100853, China.ORCID https://orcid.org/0000-0001-7508-274X
Chinese People's Liberation Army · CNChinese People’s Liberation Army 263 hospital · CNChinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The application of immunotherapy is gradually increasing in advanced bile tract carcinoma (BTC), but only some patients could benefit from it. Validated biomarkers can screen out the beneficiaries. Therefore, the objective of this research is aimed at exploring the predictive value of lung immune prognostic index (LIPI) in advanced BTC patients receiving immunotherapy. Methods: This study was conducted on 110 BTC patients. The cut-off value of the derived neutrophil-to-lymphocyte (dNLR) ratio was obtained by the ROC curves to predict the tumor progression rate at the 6 Results: The results shed light on the 110 BTC patients' LIPI in advanced BTC patients receiving immunotherapy, indicating that the cut-off value of dNLR was 1.74. According to the risk stratification, 38 (34.5%) patients had a good LIPI score, whereas the LIPI score was intermediate/poor in 72 (65.5%). In addition, patients with good LIPI were related to longer progression-free survival (PFS) and overall survival (OS), compared to those with intermediate/poor LIPI (12.17 months vs. 3.17 months; 20.2 months vs. 8.7 months). According to multivariate analysis, the intermediate/poor LIPI group was independently correlated with over 2.3 times greater risk of tumor progression (HR = 2.301; 95% CI, 1.395-3.796; Conclusion: Finally, this study verifies, for the first time, that LIPI is an independent factor affecting the survival and clinical efficacy of advanced BTC patients receiving immunotherapy. It may be difficult for patients with intermediate/poor LIPI to benefit from immunotherapy.

Identifiers

PMID35342416
PMCPMC8947875
OpenAlexW4220913447

What OpenQuestion holds

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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.