Evidence map›Paper›PMID 34751601›Full record

ArticleRenal failure2021

Absorbing filter AN69 surface treatment in critically ill COVID-19 patients: a single-center experience.

Gang Chen, Jie Ma, Peng Xia, Yan Hu, Zhengyin Liu, Xiang Zhou, Taisheng Li, Xiaowei Yan, Limeng Chen, Xuemei Li and 2 more

Abstract readLetterVideo-Audio Media
PubMed Full text at PMC Publisher
In one paragraph

Article in Renal failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Gang ChenDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Jie MaDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Peng XiaDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Yan HuDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Zhengyin LiuDepartment of Infectious Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Xiang ZhouDepartment of Intesive Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Taisheng LiDepartment of Infectious Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Xiaowei YanDepartment of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Limeng ChenDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Xuemei LiDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Yan QinDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Shuyang ZhangDepartment of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Membranes, ArtificialAcute Kidney InjuryAgedBiomarkersChinaCOVID-19Critical IllnessCytokine Release SyndromeFemaleHumansIntensive Care UnitsLength of StayMaleRenal DialysisSARS-CoV-2BiomarkersMembranes, Artificial

Identifiers

PMID34751601
PMCPMC8583914

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.