Evidence map›Paper›PMID 32483467›Full record

ArticleTheranostics2020

A rapid liquid biopsy of lung cancer by separation and detection of exfoliated tumor cells from bronchoalveolar lavage fluid with a dual-layer "PERFECT" filter system.

Tingyu Li, Yaoping Liu, Wei Zhang, Lianjun Lin, Jixin Zhang, Yan Xiong, Ligong Nie, Xinmin Liu, Haichao Li, Wei Wang

Open access · goldAbstract read
In one paragraph

Article in Theranostics, 2020. 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
1.6field-weighted citation impact, top 14% 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, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Multi-Modal Microfluidics (MMicromachines · 2022
    Article
  6. Review
  7. Review
  8. Article
  9. Review
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

10 authors at 4 institutions in 2 countries.

Tingyu LiInstitute of Microelectronics, Peking University, Beijing, 100871, China.
Yaoping LiuInstitute of Microelectronics, Peking University, Beijing, 100871, China.
Wei ZhangDepartment of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, 100034, China.
Lianjun LinDepartment of Geriatrics, Peking University First Hospital, Beijing, 100034, China.
Jixin ZhangDepartment of Pathology, Peking University First Hospital, Beijing, 100034, China.
Yan XiongDepartment of Pathology, Peking University First Hospital, Beijing, 100034, China.
Ligong NieDepartment of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, 100034, China.
Xinmin LiuDepartment of Geriatrics, Peking University First Hospital, Beijing, 100034, China.
Haichao LiDepartment of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, 100034, China.
Wei WangInstitute of Microelectronics, Peking University, Beijing, 100871, China.
Peking University · CNPeking University First Hospital · CNInstitute of Microelectronics · CNNational Center for Nanoscience and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Separation and detection of exfoliated tumor cells (ETCs) from bronchoalveolar lavage fluid (BALF), namely the liquid biopsy of BALF, has been proved to be a valuable tool for the diagnosis of lung cancer. Herein, we established a rapid liquid biopsy of BALF based on a dual-layer PERFECT (precise, efficient, rapid, flexible, easy-to-operate, controllable and thin) filter system for the first time.

Indexed as

A549 CellsAdultAgedBronchoalveolar Lavage FluidCell CountCell SeparationFemaleHumansLiquid BiopsyLung NeoplasmsMaleMiddle AgedNeoplastic Cells, CirculatingTumor Cells, Culturedbronchoalveolar lavage fluid (BALF)exfoliated tumor cells (ETCs)liquid biopsylung cancerPERFECT filter

Identifiers

PMID32483467
PMCPMC7255025
OpenAlexW3036902841

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.