Evidence map›Paper›PMID 30034665›Full record

ArticleElectronic physician2018

The sensitivity and specificity of

Saeed Heidari Kaydan, Alireza Doroudi, Faramarz Ahmadi, Mohammad Javad Khodayar, Mostafa Erfani

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Electronic physician, 2018. 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, top 88% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

5 authors at 2 institutions in 1 country.

Saeed Heidari KaydanPharm D, Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Alireza DoroudiPh.D. of Radiopharmacy, Associate Professor, Medicinal Chemistry Department, School of Pharmacy, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Faramarz AhmadiMD, Nuclear Medicine Physician, Assistant Professor, Nuclear Medicine Department, Golestan General Hospital, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Mohammad Javad KhodayarPh.D. of Toxicology, Assistant Professor, Toxicology Department, School of Pharmacy, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Mostafa ErfaniPh.D. of Radiopharmacy, Associate Professor, Radiation Application Research School, Nuclear Science and Technology Research Institute (NSTRI), Tehran, Iran.
Ahvaz Jundishapur University of Medical Sciences · IRNuclear Science and Technology Research Institute

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDetection and identification of infection from sterile inflammation foci has a crucial role in diagnosis and therapy of patients in clinical practice.

objectiveTo assess the efficiency of labeled human polyclonal immunoglobulin with technetium 99m in order to detect septic or aseptic lesions which were induced in a rat model.

methodsThe freeze-dried IgG kits have been reconstituted by

resultsLabeling yield was approximately 98%. The radio complex showed good stability in normal saline. All affected feet could be easily visualized by imaging in qualitative study. The value of target to non-target ratio at the infection (n=10) and sterile inflammation (n=10) were 2.81±0.16 and 1.54±0.15 with p<0.007. Therefore, the radiotracer uptake at the septic lesions was significantly higher than the aseptic lesions.

conclusionImaging with

Indexed as

99mTc99mTc-IgGCarrageenanInfectionInflammation

Identifiers

PMID30034665
PMCPMC6049978
OpenAlexW2810917345

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.