Evidence map›Paper›PMID 37110283›Full record

ReviewMicroorganisms2023

Bacterial Infection in the Sickle Cell Population: Development and Enabling Factors.

Lucrèce M Délicat-Loembet, Mohamed Ag Baraïka, Flabou Bougoudogo, Dapa A Diallo

Open access · goldAbstract readReview
In one paragraph

Review in Microorganisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Genomic Characterization ofMicroorganisms · 2026
    Article
  2. Observational
  3. Review
  4. Article
  5. Review
  6. 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

4 authors at 3 institutions in 2 countries.

Lucrèce M Délicat-LoembetDepartment of Biology, Faculty of Sciences, University of Sciences and Techniques of Masuku (USTM), Franceville BP 901, Gabon.ORCID 0000-0002-7522-1364
Mohamed Ag BaraïkaSickle Cell Disease Research and Control Center (CRLD), Bamako 03 BP 186, Mali.
Flabou BougoudogoNational Institute of Public Health (INSP), Bamako, Mali.
Dapa A DialloSickle Cell Disease Research and Control Center (CRLD), Bamako 03 BP 186, Mali.
University of Bamako · MLInstitut National de Recherche en Santé Publique · MLOmar Bongo University · GA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high frequency of bacterial infections represents a major threat to public health. In developing countries, they are still responsible for significant morbidity and mortality in pediatric populations with sickle cell disease, particularly in children under 5 years of age. Indeed, they have an increased susceptibility to bacterial infections due to their immune deficiency. This susceptibility is even greater for pneumococcal and salmonella infections. In addition, the underdevelopment of some countries and socio-economic factors increases this condition. This review examines the common and specific factors leading to infections in people with sickle cell disease in different types of developed and undeveloped countries. The threat of bacterial infections, particularly those caused by S. pneumoniae and Salmonella, is of increasing concern due to the rise in bacterial resistance to antibiotics. In light of this disturbing data, new strategies to control and prevent these infections are needed. Solutions could be systematic penicillin therapy, vaccinations, and probabilistic antibiotic therapy protocols.

Indexed as

bacterial infectionsrisk factorssickle cell anemia

Identifiers

PMID37110283
PMCPMC10142700
OpenAlexW4361212331

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.