Evidence map›Paper›PMID 32508057›Full record

ArticleClinical and translational medicine2020

Combinatorial assessment of ctDNA release and mutational burden predicts anti-PD(L)1 therapy outcome in nonsmall-cell lung cancer.

Wenfeng Fang, Yuxiang Ma, Jiani C Yin, Huaqiang Zhou, Fufeng Wang, Hua Bao, Ao Wang, Xue Wu, Shaodong Hong, Yunpeng Yang and 4 more

Abstract read
In one paragraph

Article in Clinical and translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
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  6. Article
  7. Review
  8. Review
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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

14 authors.

Wenfeng FangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.ORCID https://orcid.org/0000-0002-6440-8246
Yuxiang MaState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jiani C YinNanjing Geneseeq Technology Inc., Nanjing, China.
Huaqiang ZhouState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Fufeng WangNanjing Geneseeq Technology Inc., Nanjing, China.
Hua BaoDepartment of Medical, Geneseeq Technology Inc., Toronto, Ontario, Canada.
Ao WangDepartment of Medical, Geneseeq Technology Inc., Toronto, Ontario, Canada.
Xue WuDepartment of Medical, Geneseeq Technology Inc., Toronto, Ontario, Canada.
Shaodong HongState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yunpeng YangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yan HuangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Hongyun ZhaoState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yang W ShaoNanjing Geneseeq Technology Inc., Nanjing, China.
Li ZhangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.

Funding

Central Basic Scientific Research Fund for Colleges-Young Teacher Training Program of Sun Yat-sen University 17ykpy81Chinese National Natural Science Foundation 81602005Chinese National Natural Science Foundation 81772476Chinese National Natural Science Foundation 81872499National Key R&D Program of China 2016YFC0905500National Key R&D Program of China 2016YFC0905503Outstanding Young Talents Program of Sun Yat-sen University Cancer Center 16zxyc04Science and Technology Program of Guangdong 2017B020227001
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID32508057
PMCPMC7240844

What OpenQuestion holds

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LicenceCC BY
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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.