Evidence map›Paper›PMID 35422907›Full record

ArticleAmerican journal of translational research2022

Effects of sequential blood purification on the organ function and lethality in patients with paraquat-induced multiple organ dysfunction syndrome.

Fei Xu, Chao Liu, Qiaozhi Zhou, Fei Ma

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Fei XuDepartment of Emergency, 3201 Hospital of Xi'an Jiaotong University Health Science Center Hanzhong 723000, Shaanxi Province, China.
Chao LiuDepartment of Emergency, 3201 Hospital of Xi'an Jiaotong University Health Science Center Hanzhong 723000, Shaanxi Province, China.
Qiaozhi ZhouDepartment of Emergency, 3201 Hospital of Xi'an Jiaotong University Health Science Center Hanzhong 723000, Shaanxi Province, China.
Fei MaDepartment of Emergency, Hanzhong Center Hospital Hanzhong 723000, Shaanxi Province, China.
Xi'an Jiaotong University · CNHanzhong People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the efficacy of sequential blood purification in paraquat (PQ) poisoning-induced multiple organ dysfunction syndrome (MODS).

methodsForty-six patients with MODS caused by PQ poisoning admitted to our hospital during January 2016-December 2020 were retrospectively enrolled. The patients were allocated into the experimental group (n = 20) and the control group (n = 26) in accordance with the different treatment methods of blood purification. The experimental group was given sequential blood purification, and the control group was given separate blood purification. The two groups were compared in terms of blood biochemical indices, inflammatory factor levels, level of organ injury and treatment efficiency.

resultsThe blood biochemical indices and inflammatory factor levels after treatment were noticeably reduced in both groups (

conclusionCompared with blood purification therapy alone, sequential blood purification therapy can improve the indices of liver function and coma status, suppress the inflammatory response, reduce the APACHE II score, and shorten the overall duration of treatment of patients with PQ poisoning-induced MODS.

Indexed as

multiple organ dysfunction syndromeParaquatsequential blood purification

Identifiers

PMID35422907
PMCPMC8991169
OpenAlexW4226403432

What OpenQuestion holds

Textmetadata
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.