Evidence map›Paper›PMID 38370096›Full record

ArticleThe Pan African medical journal2023

Experience and findings from surveillance peer review in Nigeria, August 2017-May 2019.

Abdullahi Walla Hamisu, Sume Gerald Etapelong, Isiaka Ayodeji, Banda Richard, Braka Fiona, Saheed Gidado, Samuel Luka Abbott, Aboyowa Arayuwa Edukugho, Omotayo Bolu, Asekun Adeyelu and 4 more

Open access · goldAbstract read
In one paragraph

Article in The Pan African medical journal, 2023. 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
0.2field-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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

14 authors at 3 institutions in 2 countries.

Abdullahi Walla HamisuWorld Health Organization, Nigeria Country Office, Abuja, Nigeria.
Sume Gerald EtapelongWorld Health Organization, Nigeria Country Office, Abuja, Nigeria.
Isiaka AyodejiWorld Health Organization, Nigeria Country Office, Abuja, Nigeria.
Banda RichardWorld Health Organization, Nigeria Country Office, Abuja, Nigeria.
Braka FionaWorld Health Organization, Nigeria Country Office, Abuja, Nigeria.
Saheed GidadoNational Stop Transmission of Polio (NSTOP)/African Field Epidemiology Network (AFENET), Aso, Federal Capital Territory, Abuja, Nigeria.
Samuel Luka AbbottNational Stop Transmission of Polio (NSTOP)/African Field Epidemiology Network (AFENET), Aso, Federal Capital Territory, Abuja, Nigeria.
Aboyowa Arayuwa EdukughoNational Stop Transmission of Polio (NSTOP)/African Field Epidemiology Network (AFENET), Aso, Federal Capital Territory, Abuja, Nigeria.
Omotayo BoluCenters for Disease Control and Prevention, Atlanta, Georgia, United States.
Asekun AdeyeluCenters for Disease Control and Prevention, Atlanta, Georgia, United States.
Kabir Yusuf MawashiNational Primary Healthcare Development Authority, Abuja, Nigeria.
Usman Said AdamuNational Primary Healthcare Development Authority, Abuja, Nigeria.
Peter NsubugaGlobal Public Health Solutions, Atlanta, Georgia, United States.
Faisal ShuaibNational Primary Healthcare Development Authority, Abuja, Nigeria.
World Health Organization - Nigeria · NGCenters for Disease Control and Prevention · USPublic Health Solutions · US

Funding

World Health Organization 001
6 · The paper itself

Abstract

Introduction: acute flaccid paralysis (AFP) surveillance is the gold standard of the Global Polio Eradication Initiative (GPEI) for detecting cases of poliomyelitis and tracking poliovirus transmission. Nigeria's AFP surveillance performance indicators are among the highest in countries of the World Health Organization (WHO) African Region. The primary AFP surveillance performance indicators are the rate of non-polio AFP among children and the proportion of timely, adequate specimen collection. The surveillance working group of the National Emergency Operations Centre assessed the quality of AFP surveillance data in some reportedly high-performing states. Methods: we conducted a retrospective review of AFP surveillance performance indicators in Nigeria for 2010-2019. We also reviewed data in reports from four groups of surveillance peer reviews and validation visits (conducted by in-country GPEI partners) during August 2017-May 2019 in 16 states with high primary AFP surveillance indicators; the validation visits reviewed clinical information and the dates of specimen collection and onset of paralysis with caretakers. Results: there were consistently increasing AFP surveillance primary performance indicators during 2010-2016, followed by declines during 2017-2019. From the data for 16 states with peer reviews conducted from August 2017-May 2019, overall concordance of reported and "true" (validated) AFP indicator data in peer review investigations was highly variable. True AFP concordance ranged from 58%-100%, and stool timeliness concordance ranged from 56%-95%. The most common clinical causes of reported AFP cases that were not true AFP were spastic paralysis, malaria, sickle cell disease, and malnutrition. All the states that participated in peer reviews developed surveillance improvement plans based on the gaps identified. Conclusion: Nigeria has highly sensitive AFP surveillance according to reported primary AFP performance indicators. The findings of peer reviews indicate that the AFP surveillance system needs to be strengthened and well-supervised to enhance data quality.

Indexed as

PoliomyelitisPoliovirusalpha-FetoproteinsChildHumansNigeriaParalysisPopulation Surveillancealpha-Fetoproteinsacute flaccid paralysispeer reviewstool adequacySurveillance

Identifiers

PMID38370096
PMCPMC10874099
OpenAlexW4391904651

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.