Evidence map›Paper›PMID 28540164›Full record

ReviewActa pharmaceutica Sinica. B2017

Understanding

Prachi B Shekhawat, Varsha B Pokharkar

Abstract readReview
In one paragraph

Review in Acta pharmaceutica Sinica. B, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

  1. Review
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  12. Review
  13. Self-emulsifying micelles as a drug nanocarrier system for itraconazole oral bioavailability enhancement;Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
    Article
  14. Review
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  17. Review
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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.

Prachi B ShekhawatDepartment of Pharmaceutics, Poona College of Pharmacy, Bharati Vidyapeeth Deemed University, Erandwane, Kothrud, Pune 411038, India.
Varsha B PokharkarDepartment of Pharmaceutics, Poona College of Pharmacy, Bharati Vidyapeeth Deemed University, Erandwane, Kothrud, Pune 411038, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral drug absorption is a process influenced by the physicochemical and biopharmaceutical properties of the drug and its inter-relationship with the gastrointestinal tract. Drug solubility, dissolution and permeability across intestinal barrier are the key parameters controlling absorption. This review provides an overview of the factors that affect drug absorption and the classification of a drug on the basis of solubility and permeability. The biopharmaceutical classification system (BCS) was introduced in early 90׳s and is a regulatory tool used to predict bioavailability problems associated with a new entity, thereby helping in the development of a drug product. Strategies to combat solubility and permeability issues are also discussed.

Indexed as

ABC, ATP-binding cassetteAP, absorption potentialAPI, active pharmaceutical ingredientATP, adenosine triphosphateAZT, azidothymidineBA/BE, bioavailability/bioequivalenceBCRP, breast cancer resistance proteinBCSBCS, biopharmaceutical classification systemBDDS, biopharmaceutical drug disposition systemBSP, bromosulfophthaleinCD, cyclodextrinCDER, Centre for Drug Evaluation and ResearchCNT, concentrative nucleoside transporterCNT, Na+-dependent concentrative transporterCYP, cytochrome P450D:S, dose:solubilityE217G, estradiol 17β-glucuronideEMEA, European Medicines AgencyENT, equilibrative nucleoside transporterFactors affecting absorptionFaSSIF, fasted state simulated intestinal fluidFATP, fatty acid transporter proteinFDA, U.S. Food and Drug AdministrationFeSSIF, fed state simulated intestinal fluidFIP, International Pharmaceutical FederationFormulation strategiesGIS, gastrointestinal simulatorGITA, gastrointestinal transit and absorptionGIT, gastrointestinal tractGLUT, sodium-independent facilitated diffusion transporterGRAS, generally recognized as safeHIV, human immunodeficiency diseaseHPC-SL, LBDDS, lipid based drug delivery systemHUGO, Human Genome OrganizationICH, International Council of HarmonizationIDR, intrinsic dissolution rateIR, immediate releaseISBT, sodium dependent bile salt transporterMCT, monocarboxylate transporterMPP, 1-methyl-4-phenylpyridiniumMRP, multidrug resistance associated proteinNLC, nanostructured lipid carrierNME, new molecular entityNTCP, sodium-dependent taurocholate co-transporting polypeptideOAT, organic anion transporterOATP, organic anion transporting polypeptideOCTN, organic cationic/carnitine transporterOCT, organic cationic transporterOMM, ordered mesoporous materialPAH, p-aminohippuratePAMPA, parallel artificial membrane permeability assayPapp, apparent permeabilityPeff, effective permeabilityPEG, polyethylene glycolPEI, polyethyleneiminePEPT, peptide transporterPermeabilityPGA, polyglycolic acidP-gp, P-glycoproteinPLA, poly(lactic acid)PLGA, poly-d,l-lactide-co-glycosidePMAT, plasma membrane monoamine transportpMMA, polymethyl methacrylatePSA, polar surface areaPsi, porous siliconPVDF, polyvinylidene difluorideRFC, reduced folate transporterSDS, sodium dodecyl sulphateSGLT, sodium dependent secondary active transporterSIF, simulated intestinal fluidSLCO, solute carrier organic anionSLC, solute carrierSLN, solid lipid nanoparticlesSMVT, sodium dependent multivitamin transporterSolubilitySPIP, single pass intestinal perfusionSUPAC, scale-up and post approval changesSVCT, sodium-dependent vitamin C transporterTEOS, tetraethylortho silicateUWL, unstirred water layerVDAD, volume to dissolve applied dosevit. E TPGS, vitamin E tocopherol polyethylene glycol succinateWHO, World Health Organization

Identifiers

PMID28540164
PMCPMC5430883

What OpenQuestion holds

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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.