Evidence map›Paper›PMID 36891387›Full record

ArticleFrontiers in microbiology2023

Quantitatively detecting

Jingzi Piao, Ning Li, Lina Zhang, Hanbing Meng, Qingqing Sun, Zhengxin He

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. A novel quantitative double antigen sandwich ELISA for detecting total antibodies against Candida albicans enolase 1.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  4. Article
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

6 authors at 2 institutions in 1 country.

Jingzi PiaoCollege of Plant Protection, Shenyang Agricultural University, Shenyang, Liaoning, China.
Ning LiShenyang Institute for Food and Drug Control, Shenyang, Liaoning, China.
Lina ZhangBasic Medicine Laboratory, Bethune International Peace Hospital, Shijiazhuang, Hebei, China.
Hanbing MengBasic Medicine Laboratory, Bethune International Peace Hospital, Shijiazhuang, Hebei, China.
Qingqing SunBasic Medicine Laboratory, Bethune International Peace Hospital, Shijiazhuang, Hebei, China.
Zhengxin HeBasic Medicine Laboratory, Bethune International Peace Hospital, Shijiazhuang, Hebei, China.
Bethune International Peace Hospital · CNShenyang Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive candidiasis (IC) is often a cause of severe concern for the hospitalized patients, particularly those who are critically sick. However management of this disease is challenging due to a lack of effective laboratory diagnostic techniques. Hence, we have developed a one-step double antibody sandwich enzyme-linked immunosorbent assay (DAS-ELISA) using a pair of specific monoclonal antibodies (mAbs) for the quantitative detection of

Indexed as

Candida albicans enolase1double antibody sandwich enzyme-linked immunosorbent assayinvasive candidiasislaboratory diagnosisrabbit model

Identifiers

PMID36891387
PMCPMC9986313
OpenAlexW4321376601

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.