Evidence map›Paper›PMID 35507893›Full record

ArticleJCO global oncology2022

Program Planning to Develop Infrastructure for Cancer Care in Liberia.

Ann Marie Beddoe, Wilhelmina Jallah, Bernice Dahn

Open access · goldAbstract read
In one paragraph

Article in JCO global oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
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.

Ann Marie BeddoeIcahn School of Medicine, Mount Sinai Medical Center, New York, NY.ORCID 0000-0003-0658-0379
Wilhelmina JallahMinistry of Health of the Republic of Liberia, Monrovia, Liberia.
Bernice DahnHealth Sciences, University of Liberia, Monrovia, Liberia.
University of Liberia · LRMount Sinai Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liberia's health infrastructure was completely devastated after 14 years of back-to-back civil war. Postconflict rebuilding of the country's health workforce and infrastructure has become a priority. Initially, the focus was on the diagnosis and treatment of communicable diseases that caused multigenerational family losses. With the increasing burden of noncommunicable diseases, however, the country has turned its attention to addressing diabetes, cancer, and cardiovascular and respiratory diseases, with the development of the noncommunicable disease unit under the Ministry of Health. Recovering from another setback caused by the Ebola virus outbreak in 2014, the country assembled a diverse group of stakeholders to form Liberia's first National Cancer Committee. To structure a program that would address the increasing burden of cervical and breast cancers, the major cause of mortality among reproductive-aged women in Liberia, input from the International Atomic Energy Agency was critical. This article describes the preplanning activities for developing infrastructure to support cancer care in Liberia that occurred between 2013 and 2020 and is still ongoing. This case study is intended to serve as a planning guide for countries with limited resources as they work toward the goal of eliminating cervical cancer and developing infrastructure to address their country's burden of all cancers.

Indexed as

EbolavirusHemorrhagic Fever, EbolaNeoplasmsAdultDisease OutbreaksFemaleHealth WorkforceHumansLiberia

Identifiers

PMID35507893
PMCPMC9126527
OpenAlexW4229024978

What OpenQuestion holds

Textmetadata
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.