Evidence map›Paper›PMID 33224276›Full record

ArticleTherapeutic advances in medical oncology2020

Pretreatment hemoglobin level as a predictor to evaluate the efficacy of immune checkpoint inhibitors in patients with advanced non-small cell lung cancer.

Zhibo Zhang, Fan Zhang, Fang Yuan, Ye Li, Junxun Ma, Qiuxiang Ou, Zhefeng Liu, Bo Yang, Lijie Wang, Haitao Tao and 8 more

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

32 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Prognostic value of the CHAM score in non-small cell lung cancer patients treated with nivolumab.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  3. Observational
  4. Broad Utility of Ultrasensitive Analysis of ctDNA Dynamics across Solid Tumors Treated with Immunotherapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 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

18 authors at 1 institution in 1 country.

Zhibo ZhangDepartment of Oncology, The Second Medical Center of Chinese PLA General Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-8534-7190
Fan ZhangDepartment of Oncology, Chinese PLA General Hospital, Beijing, China.
Fang YuanDepartment of Oncology, Chinese PLA General Hospital, Beijing, China.
Ye LiDepartment of Radiotherapy, Chinese PLA General Hospital, Beijing, China.
Junxun MaDepartment of Oncology, Chinese PLA General Hospital, Beijing, China.
Qiuxiang OuTranslational Medicine Research Institute, Geneseeq Technology Inc., Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-2961-2057
Zhefeng LiuDepartment of Oncology, Chinese PLA General Hospital, Beijing, China.
Bo YangDepartment of Oncology, Chinese PLA General Hospital, Beijing, China.
Lijie WangDepartment of Oncology, Chinese PLA General Hospital, Beijing, China.
Haitao TaoDepartment of Oncology, Chinese PLA General Hospital, Beijing, China.
Sujie ZhangDepartment of Oncology, Chinese PLA General Hospital, Beijing, China.
Xiaoyan LiDepartment of Oncology, Chinese PLA General Hospital, Beijing, China.
Xiaoyu ZhiDepartment of Oncology, The Second Medical Center of Chinese PLA General Hospital, Beijing, China.
Xiangwei GeDepartment of Oncology, The Second Medical Center of Chinese PLA General Hospital, Beijing, China.
Hua BaoTranslational Medicine Research Institute, Geneseeq Technology Inc., Toronto, Ontario, Canada.
Xue WuTranslational Medicine Research Institute, Geneseeq Technology Inc., Toronto, Ontario, Canada.
Yi HuDepartment of Oncology, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, China.
Jinliang WangDepartment of Oncology, The Second Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, China.
Chinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTargeting immune checkpoints represents an immense breakthrough in cancer therapeutics. The prognostic value of hemoglobin (Hb) has been investigated in many malignancies including non-small cell lung cancer (NSCLC). However, the prognostic impact of pretreatment Hb count for immune checkpoint inhibitors (ICIs) in advanced NSCLC patients remains unclear.

methodsA total of 310 late-stage NSCLC patients who received ICI therapies between January 2015 and March 2019 were prospectively enrolled. We used a propensity score-matched cohort analysis for this study. Patients' clinicopathological characteristics and pretreatment Hb concentration were assessed against the progression-free survival (PFS) and overall survival (OS) using the Kaplan-Meier method and Cox proportional hazards regression.

resultsA propensity score (PS)-matched cohort analysis was applied to adjust for potential bias and to create two comparable groups according to patients' clinicopathological characteristics. The patients with normal baseline Hb levels (⩾110 g/L) had significantly longer PFS [median: 10.0

conclusionOur findings showed that normal pretreatment Hb count served as a favorable prognostic marker in advanced NSCLC patients treated with ICIs, representing an economical biomarker with readily measuring performance among all reported ones.

Indexed as

efficacyhemoglobinimmune checkpoint inhibitorsnon-small cell lung cancerpredictor

Identifiers

PMID33224276
PMCPMC7649885
OpenAlexW3096950003

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.