Evidence map›Paper›PMID 37007866›Full record

ArticleDialogues in health2022

Evaluation of California Non-Comprehensive Death File Against National Death Index.

Xi Chen, Rebekah Park, Cecilia Hurtado, Heidi Gransar, Brian Tep, Romalisa Miranda-Peats, Spencer L Soohoo, Alan Rozanski, Daniel S Berman

Abstract read
In one paragraph

Article in Dialogues in health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Downward myocardial creep during stress PET imaging is inversely associated with mortality.European journal of nuclear medicine and molecular imaging · 2024
    Article
  2. 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

9 authors.

Xi ChenCedars-Sinai Medical Center, Department of Imaging and Medicine, Los Angeles, California, United States.
Rebekah ParkCedars-Sinai Medical Center, Department of Imaging and Medicine, Los Angeles, California, United States.
Cecilia HurtadoCedars-Sinai Medical Center, Department of Imaging and Medicine, Los Angeles, California, United States.
Heidi GransarCedars-Sinai Medical Center, Department of Imaging and Medicine, Los Angeles, California, United States.
Brian TepCedars-Sinai Medical Center, Research Informatics and Scientific Computing Core, Los Angeles, California, United States.
Romalisa Miranda-PeatsCedars-Sinai Medical Center, Department of Imaging and Medicine, Los Angeles, California, United States.
Spencer L SoohooCedars-Sinai Medical Center, Research Informatics and Scientific Computing Core, Los Angeles, California, United States.
Alan RozanskiMount Sinai St. Luke's Hospital Cardiology, Division of Cardiology, New York, New York, United States.
Daniel S BermanCedars-Sinai Medical Center, Department of Imaging and Medicine, Los Angeles, California, United States.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
NCATS NIH HHS UL1 TR001881
6 · The paper itself

Abstract

The National Death Index (NDI) by the Centers for Disease Control and Prevention and Death Master File (DMF) by Social Security Administration are the two most broadly utilized data files for mortality outcomes in clinical research. NDI's high costs and the elimination of protected death records from California in DMF calls for alternative death files. The recently emerged California Non-Comprehensive Death File (CNDF) serves as an alternative source for vital statistics. This study aims to evaluate the sensitivity and specificity of CNDF compared to NDI. Of 40,724 consented subjects in the Cedars-Sinai Cardiac Imaging Research Registry, 25,836 eligible subjects were queried through the NDI and the CDNF. After exclusion of death records to establish the same temporal and geographic availability of data, NDI identified 5,707 exact matches, while CNDF identified 6,051 death records. CNDF had a sensitivity of 94.3% and specificity of 96.4% compared to NDI exact matches. NDI also produced 581 close matches: all were verified as deaths by CNDF through matching death date and patient identifiers. Combining all NDI death records, CNDF had a sensitivity of 94.8% and specificity of 99.5%. CNDF is a reliable source for obtaining mortality outcomes and providing additional mortality validation. The use of CNDF can aid and replace the use of NDI in the state of California.

Indexed as

Data collectionDeath ascertainmentDeath filesEpidemiologic methodVital statistics

Identifiers

PMID37007866
PMCPMC10065452

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.