Sustainable analysis of COVID-19 Co-packaged paxlovid: exploring advanced sampling techniques and multivariate processing tools.

Shymaa S Soliman, Nisreen F Abo- Talib, Mohamed R Elghobashy, Mona A Abdel Rahman

Abstract read

In one paragraph

Article in BMC chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Hybrid sampling chemometric strategy for accurate and sustainable quantification of co-administered β-lactam antibiotics.BMC chemistry · 2025
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.

Shymaa S SolimanAnalytical Chemistry Department, Faculty of Pharmacy, October 6 University, October 6 City, Giza, 12858, Egypt. shimaasayed@o6u.edu.eg.ORCID https://orcid.org/0000-0002-0554-0423

Nisreen F Abo- TalibEgyptian Drug Authority, P.O. Box 35521, Agouza, Giza, Egypt.ORCID http://orcid.org/0000-0003-3869-8574

Mohamed R ElghobashyAnalytical Chemistry Department, Faculty of Pharmacy, October 6 University, October 6 City, Giza, 12858, Egypt.ORCID http://orcid.org/0000-0003-0383-2091

Mona A Abdel RahmanAnalytical Chemistry Department, Faculty of Pharmacy, October 6 University, October 6 City, Giza, 12858, Egypt.ORCID https://orcid.org/0009-0003-0978-469X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The drawbacks of random sampling not only hinder the development of more reliable and efficient methods but also weaken their accuracy, predictive abilities, and validity across several domains. During the current study, a pioneering statistical technique namely, Latin Hypercube Sampling (LHS) was integrated with different multivariate chemometric models namely; Partial Least Squares (PLS), Genetic Algorithm‑Partial Least Squares (GA-PLS), Artificial Neural Networks (ANN), and Multivariate Curve Resolution‑Alternating Least Squares (MCR-ALS). This integration aimed to achieve full data coverage and thereby enhance the predictive powers of these models. Being of clinical significance, Paxlovid

Indexed as

COVID-19 Co-packaged Paxlovid®Latin hypercube samplingMultivariate chemometric modelsNew hybrid GA-ICOMP-PLS methodSustainability assessment tools

Identifiers

PMID40640855

DOI10.1186/s13065-025-01567-2

PMCPMC12243336

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.