Evidence map›Paper›PMID 35094986›Full record

ArticleCancer biomarkers : section A of Disease markers2022

Early onset of severe lymphopenia during definitive radiotherapy correlates with mean body dose and predicts poor survival in cervical cancer.

Li Yang, Zhiyuan Xu, Lingyu Ma, Qin Liu, Amy T Y Chang, Qian Wang, Jiandong Zha, Jinliang Zhang, Xiaoqin Jiang, Jingjing Zhang and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
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  4. Review
  5. Radiation Therapy and Myeloid-Derived Suppressor Cells: Breaking Down Their Cancerous Partnership.International journal of radiation oncology, biology, physics · 2024
    Review
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  7. Review
  8. 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

12 authors at 4 institutions in 2 countries.

Li YangDepartment of Pathology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Zhiyuan XuClinical Oncology Center, the University of Hong Kong - Shenzhen Hospital, Shenzhen, Guangdong, China.
Lingyu MaClinical Oncology Center, the University of Hong Kong - Shenzhen Hospital, Shenzhen, Guangdong, China.
Qin LiuClinical Oncology Center, the University of Hong Kong - Shenzhen Hospital, Shenzhen, Guangdong, China.
Amy T Y ChangClinical Oncology Center, the University of Hong Kong - Shenzhen Hospital, Shenzhen, Guangdong, China.
Qian WangClinical Oncology Center, the University of Hong Kong - Shenzhen Hospital, Shenzhen, Guangdong, China.
Jiandong ZhaClinical Oncology Center, the University of Hong Kong - Shenzhen Hospital, Shenzhen, Guangdong, China.
Jinliang ZhangClinical Oncology Center, the University of Hong Kong - Shenzhen Hospital, Shenzhen, Guangdong, China.
Xiaoqin JiangClinical Oncology Center, the University of Hong Kong - Shenzhen Hospital, Shenzhen, Guangdong, China.
Jingjing ZhangClinical Oncology Center, the University of Hong Kong - Shenzhen Hospital, Shenzhen, Guangdong, China.
Feng-Ming Spring KongClinical Oncology Center, the University of Hong Kong - Shenzhen Hospital, Shenzhen, Guangdong, China.
Linlang GuoDepartment of Pathology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
University of Hong Kong - Shenzhen Hospital · CNZhujiang Hospital · CNChinese University of Hong Kong · HKHong Kong Sanatorium and Hospital · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLymphopenia during definitive radiotherapy (RT) has been shown to reduce survival in patients with cervical cancer. However, there are few studies on the significance of onset time of lymphopenia during RT in patients with cervical cancer.

objectiveThis study aimed to exam the prognostic significance of early onset of severe lymphopenia (EOSL) during definitive RT in patients with cervical cancer.

methodsNewly diagnosed cervical cancer patients treated with definitive RT from January 2015 to December 2019 were eligible for this retrospective study. EOSL was defined as first onset of grade 3-4 lymphopenia ⩽ 3 weeks from the start of RT. Mean body dose (MBD) was the mean radiation dose absorbed by the body during the whole course of external beam RT (EBRT) and was directly obtained from the dose volume histogram (DVH) of the EBRT planning. Logistic regression analysis and restricted cubic spline (RCS) models were applied to assess relationships between clinicopathological factors and EOSL. Survival analysis was performed using Kaplan-Meier curves and log-rank test. A COX regression model was developed to predict overall survival (OS).

resultsA total of 104 patients were included and 59.6% had EOSL. MBD (P= 0.04), concurrent cisplatin (P= 0.011), and pre-RT absolute lymphocyte count (ALC) (P= 0.001) were associated with EOSL. A linear relationship (P for non-linearity = 0.803) between MBD and risk of EOSL was found. Patients with EOSL had decreased OS (2-yr 75.1% vs 91.1%, P= 0.021) and progression-free survival (PFS) (2-yr 71.2% vs 83.7%, P= 0.071). An OS prediction COX model was developed with C-index of 0.835 and AUC of 0.872.

conclusionsEOSL during definitive RT correlates with MBD and predicts poor survival in patients with cervical cancer.

Indexed as

LymphopeniaUterine Cervical NeoplasmsFemaleHumansLymphocyte CountPrognosisRetrospective StudiesCervical cancerdefinitive radiotherapyearly onset of severe lymphopeniamean body doseoverall survival

Identifiers

PMID35094986
PMCPMC9108612
OpenAlexW4206952994

What OpenQuestion holds

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LicenceCC BY-NC
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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.