Evidence map›Paper›PMID 24523592›Full record

ReviewOncoTargets and therapy2014

Nab-paclitaxel: potential for the treatment of advanced pancreatic cancer.

Marwan Al-Hajeili, Asfar S Azmi, Minsig Choi

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in OncoTargets and therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02021500 (MPACT Extension Study), which is not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.8field-weighted citation impact, top 8% 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.

NCT02021500 completednot on this map

MPACT Extension Study: Multicenter, Survival Data Collection in Subjects Previously Enrolled in Protocol CA046

TypeobservationalSponsorCelgeneRan2014 to 2015Enrolled40ConditionsPancreatic CancerArmsABI-007
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 39 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Marwan Al-HajeiliDepartment of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia ; Department of Oncology, Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA.
Asfar S AzmiDepartment of Pathology, Wayne State University, Detroit, MI, USA.
Minsig ChoiDepartment of Oncology, Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA.
Wayne State University · USThe Barbara Ann Karmanos Cancer Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced pancreatic adenocarcinoma is a deadly disease and is considered incurable. For the past two decades, gemcitabine remained the major chemotherapeutic drug with modest clinical benefit. Many chemotherapy and targeted agents were combined with gemcitabine but failed to demonstrate improvement in pancreatic cancer (PC) survival. Taxanes (paclitaxel, docetaxel) were introduced in the clinic as anti-microtubule agents and showed activity against PC cells in vitro; however, clinical efficacy was limited. Nab-paclitaxel (Abraxane) is an albumin-bound paclitaxel that has shown clinical activity in advanced breast and lung cancer. Recently, nab-paclitaxel was tested in a large Phase III clinical trial in combination with gemcitabine for the treatment of advanced PC. The data showed that the addition of nab-paclitaxel improved the response rate (7% in gemcitabine alone versus 23% in combination), progression-free survival (from 3.7 months to 5.5 months), and overall survival from 6.7 months to 8.5 months, compared to single agent gemcitabine. Through this review, we provide the preclinical and clinical progress in the development of nab-paclitaxel for the treatment of metastatic PC.

Indexed as

abraxanegemcitabinenab-paclitaxelpancreatic adenocarcinoma

Identifiers

PMID24523592
PMCPMC3921002
OpenAlexW2091019843

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.