{"doi":"10.3389/fmed.2020.00227","title":"Predictors of Mortality From a Population-Based Cancer Registry Data in Jos, Nigeria: A Resource-Limited Setting","abstract":"Background It is a well-documented fact that world-wide cancer incidence and mortality remains high in Human Immunodeficiency Virus (HIV) infected population despite potent antiretroviral therapy. With the current capture of HIV status of cancer patients in our cancer registry at Jos Nigeria, this study aims to assess the effect of HIV on cancer mortality outcomes. Methodology We conducted a 2-year retrospective cohort study of cancer registry data from Jos, north central Nigeria. The cancers were grouped into cervical, breast, liver, hematologic, colonic, prostate and others in this study. Patients were followed up to determine their patient time contribution from time at initiation of cancer treatment to death or the end of study period. Those lost to follow-up were censored at date of their last known follow-up in clinic. Results Out of 930 cancer cases evaluated, 52(5.6%) were HIV positive, 507(54.5%) were HIV negative and 371(39.9%) did not know their HIV status. After 525,223 person- days of follow-up, there were 225 deaths leading to a crude mortality rate of 4.3 per 10,000 person-days. Median survival probability for both HIV-infected and HIV uninfected patients were equal ( 1,013 days).Unadjusted hazard of death was associated with marital status, HR 0.57(95% CI: 0.41, 0.79,p = 0.001); greater age, HR 0.99(95% CI: 0.98,0.99,p = 0.002); hepatitis virus, HR 2.40(95% CI: 1.69,3.43,p= 0.001); breast cancer, HR 0.47(95% CI: 0.31,0.69,p= 0.001); liver cancer, HR 1.97(95% CI:1.38,2.80,p= 0.001); prostate cancer, HR 0.15 (95% CI: 0.08,0.28,P= 0.001) . In an adjusted model, only liver cancer AHR 3.22(95% CI: 1.44, 7.22, p= 0.005) remained significantly associated with death regardless of HIV status. Conclusion Mortality following liver cancer is three times more than other cancers regardless of HIV status. Linkage of HIV and cancer data especially in regions with high HIV prevalence should be advocated to better understand the role of HIV on cancer indices.","journal":"Frontiers in Medicine","year":2020,"id":109224,"datarank":0.1729832507157243,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"self_citation_contribution":0.16479184330021646,"citation_network_contribution":0.008191407415507834,"self_endowment_contribution":0.16479184330021646,"citer_contribution":0.008191407415507834,"corpus_percentile":33.12446816740156,"corpus_rank":8646,"citation_count":2,"citer_count":2,"citers_with_citation_signal":1,"citers_with_endowment":1,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.6821,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":4.1667,"fair_percentile":4.891470498318557,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":447614,"name":"Jonah Musa","orcid":"0000-0002-7836-0976","position":1,"is_corresponding":false},{"id":408249,"name":"Tolulope Afolaranmi","orcid":null,"position":2,"is_corresponding":false},{"id":371013,"name":"Atiene S. Sagay","orcid":"0000-0002-5715-8365","position":3,"is_corresponding":false},{"id":521927,"name":"Charlesnika T. Evans","orcid":"0000-0002-0696-8288","position":4,"is_corresponding":false},{"id":283131,"name":"Chad J. Achenbach","orcid":"0000-0003-4847-7249","position":5,"is_corresponding":false},{"id":218546,"name":"Lifang Hou","orcid":"0000-0003-4877-0031","position":6,"is_corresponding":false},{"id":12095,"name":"Robert L. Murphy","orcid":"0000-0003-3936-2052","position":7,"is_corresponding":false},{"id":521926,"name":"Olugbenga A. Silas","orcid":"0000-0003-1585-9988","position":0,"is_corresponding":true}],"reference_count":24,"raw_metadata":null,"created_at":"2026-07-18T23:12:50.712357Z","pmid":"32582731","pmcid":"PMC7287203","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":0.0,"fair_a":0.0,"fair_i":0.0,"fair_r":16.6667,"fair_zscore":-1.1986,"fair_rationale":{"fair_score":4.17,"has_llm":true,"taxonomy_version":"fair_taxonomy_v5","dimensions":{"F":{"name":"Findable","score":0.0,"criteria":[{"key":"f_dataset_pid","label":"Persistent identifier for the data","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":"The datasets generated for this study are available on request to the corresponding author.","grounded":false,"rationale":"No persistent identifier string (DOI, Handle, ARK, or repository accession) is given for the data.","anchors":["RDA-F1-01D — FAIR Data Maturity Model: 'Data is identified by a persistent identifier' (priorit","RDA-F1-02D — FAIR Data Maturity Model: 'Data is identified by a globally unique identifier'","FsF-F1-02D — F-UJI/FAIRsFAIR: 'Data is assigned a persistent identifier'"],"scored":true,"signal":null},{"key":"f_repository_named","label":"Named repository","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":"The datasets generated for this study are available on request to the corresponding author.","grounded":false,"rationale":"No repository is named; the data are held by the corresponding author.","anchors":["RDA-F4-01M — FAIR Data Maturity Model: metadata is offered so it can be harvested and indexed (","NIH DMS Policy Element 4 (NOT-OD-21-014) — name the repository where data will be archived","NSTC Desirable Characteristics of Data Repositories (2022) — 'Long-Term Sustainability', 'Reten"],"scored":true,"signal":null},{"key":"f_data_availability_statement","label":"Data-availability statement","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":"The datasets generated for this study are available on request to the corresponding author.","grounded":false,"rationale":"The data availability statement is of the 'available on request' type (Colavizza category 1). 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NIH DMS Element 4 asks for both; most papers give neither.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":"The datasets generated for this study are available on request to the corresponding author.","why":"No statement about how long the data will persist or when they become available beyond the request mechanism.","gain":0.0,"priority":"useful","scored":false}],"suggestions":["Mint or cite a persistent identifier for the dataset — a repository DOI or an accession from a registered repository — and print it in the paper. A bare URL is not persistent: it is the single most common cause of a dead data link five years after publication. For clinical / human-subjects data, deposit in dbGaP or the European Genome-phenome Archive (EGA).","Deposit the data in a repository registered in re3data/FAIRsharing (a domain repository such as GEO, SRA, dbGaP, PRIDE, or a generalist such as Zenodo, Dryad, Dataverse) and name it explicitly in the paper. A lab website is not an archive: it has no retention commitment and no accession. For clinical / human-subjects data, deposit in dbGaP or the European Genome-phenome Archive (EGA).","Remove the precondition or justify it. Release the data at publication with no embargo, no registration wall, and no approval step — NIH's zero-embargo public- access rule (NOT-OD-25-101) has already made 'available at publication' the federal baseline for the article; the data should not lag behind it. For clinical / human-subjects data, deposit in dbGaP or the European Genome-phenome Archive (EGA).","Attach a standard, machine-readable open licence to the deposit — CC0 or CC BY, which is what Horizon Europe and most funders expect — and print the licence identifier in the paper. 'Free to use' is not a licence: it grants nothing a reuser's institution can rely on.","Cite the dataset in the reference list like a publication — creator, year, title, repository, DOI/accession — and cite it in-text where it is used. Only a reference- list entry is machine-readable to Crossref/DataCite, and only a citation lets the data earn credit. Cite the clinical / human-subjects repository accession (e.g. from dbGaP or the European Genome-phenome Archive (EGA)) in the reference list."],"model":"deepseek/deepseek-v4-flash","agent_version":"fair_agent_v8","fulltext_source":"unpaywall_pdf"},"fair_model":"deepseek/deepseek-v4-flash","fair_agent_version":"fair_agent_v8","fair_fulltext_source":"unpaywall_pdf","fair_has_llm":true,"fair_computed_at":"2026-07-20T13:22:11.510965Z","clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}