Evidence map›Paper›PMID 39446254›Full record

ReviewCell biochemistry and biophysics2025

Advanced Bio-sensing Technologies for Sickle Cell Disease Diagnosis.

Udyan Sharma, Lata Sheo Bachan Upadhyay

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cell biochemistry and biophysics, 2025. 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
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.

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

2 authors.

Udyan SharmaDepartment of Biotechnology, National Institute of Technology, Raipur, Chhattisgarh, 492010, India.
Lata Sheo Bachan UpadhyayDepartment of Biotechnology, National Institute of Technology, Raipur, Chhattisgarh, 492010, India. contactlataupadhyay@gmail.com.ORCID http://orcid.org/0000-0002-7967-8978

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sickle cell diseases are widespread in regions encompassing the Mediterranean, Middle East, sub-Saharan Africa, and specific parts of Asia, primarily due to the abnormal production of hemoglobin S. This genetic blood disorder stems from a mutation in the beta-globin gene, a crucial component of hemoglobin and the heme-containing protein found in red blood cells. Point mutations in the hemoglobin gene can be inherited as a heterozygous or homozygous pattern. These mutations disrupt the normal configuration of the protein, impeding its physiological function and altering the cell's shape, giving it a sickle-like appearance. The resulting sickle cells can lead to organ damage, intense physical discomfort, and anemia; in severe cases, the condition can be fatal. Early detection and effective treatment methods have the potential to progressively reduce the associated mortality rate over time. To diagnose sickle cell disease and its carrier states with unparalleled specificity, a variety of approaches have been developed. The most common method includes differential blood cell counts and their assessment, high-performance liquid chromatography (HPLC) and hemoglobin electrophoresis. Furthermore, innovative sensing technologies are currently under development, encompassing user-friendly, cost-effective and portable point-of-care devices that are capable of timely diagnosis at the genetic and molecular levels of these disorders. The review delves into a range of established and innovative strategies utilized in the detection of sickle cell disease, also underscoring the essential role played by diverse bio-sensing techniques in propelling the advancement of early diagnosis of SCD.

Indexed as

Anemia, Sickle CellBiosensing TechniquesHemoglobin, SickleHumansHemoglobin, SickleAnemiaDetectionHemoglobinMutationPoint-of-care

Identifiers

What OpenQuestion holds

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Registered trials

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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.