Evidence map›Paper›PMID 33623780›Full record

ArticleBioMed research international2021

Direct DNA Sequencing-Based Analysis of Microbiota Associated with Hematological Malignancies in the Eastern Province of Saudi Arabia.

Faisal M Alzahrani, Ali Al-Amri, Saeed Sattar Shaikh, Muzaheed, Amer Ibrahim Alomar, Sadananda Acharya, Maryam Ahmed Aldossary, Fathelrahman Mahdi Hassan

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 43% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. 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

8 authors at 2 institutions in 1 country.

Faisal M AlzahraniDepartment of Clinical Laboratory Science, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.ORCID https://orcid.org/0000-0003-3354-1172
Ali Al-AmriDepartment of Internal Medicine/Oncology, College of Medicine, King Fahd Hospital of the Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Saeed Sattar ShaikhDepartment of Clinical Laboratory Science, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.ORCID https://orcid.org/0000-0001-9367-2292
MuzaheedDepartment of Clinical Laboratory Science, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.ORCID https://orcid.org/0000-0002-2814-8205
Amer Ibrahim AlomarDepartment of Clinical Laboratory Science, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.ORCID https://orcid.org/0000-0003-4557-2814
Sadananda AcharyaDepartment of Public Health, College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.ORCID https://orcid.org/0000-0003-2106-0136
Maryam Ahmed AldossaryDepartment of Clinical Laboratory Science, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Fathelrahman Mahdi HassanDepartment of Clinical Laboratory Science, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.ORCID https://orcid.org/0000-0002-2630-3208
Imam Abdulrahman Bin Faisal University · SAKing Fahd Hospital of the University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBloodstream infections (BSI) among patients with hematological malignancies (HM) could predispose them to higher morbidity and mortality for various underlying conditions. Several microorganisms, either pathogenic or opportunistic normal human flora, could cause severe bacteremia and septicemia. While conventional methods have their own limitations, molecular methods such as next-generation sequencing (NGS) can detect these blood infections with more reliability, specificity, and sensitivity, in addition to information on microbial population landscape.

results82% of the patients showed BSI with Gram-negative bacteria as the most predominant group.

conclusionMost of the BSI in patients were characterized by polymicrobial infections, unlike the control samples. Molecular methods like NGS showed robust, fast, and specific identification of infectious agents in BSI in HM, indicating the possibility of its application in routine follow-up of such patients for infections.

Indexed as

BacteremiaAdolescentAdultAgedBacteriaCoinfectionDNA, BacterialFemaleHematologic NeoplasmsHumansMaleMetagenomeMetagenomicsMicrobiotaMiddle AgedMolecular Diagnostic TechniquesDNA, Bacterial

Identifiers

PMID33623780
PMCPMC7875615
OpenAlexW3128526435

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.