Long Term Outcomes of Bariatric Surgery Using Large Datasets (R01) | Apply Online

Opportunity Summary:

The NIH funding opportunity titled "Long Term Outcomes of Bariatric Surgery Using Large Datasets (R01)" (Funding Opportunity Number PAR-14-262) was designed to support research that uses large-scale clinical datasets from healthcare delivery organizations to understand what happens to patients years after bariatric surgery. The central emphasis is on long-term outcomes, defined as at least five years of follow-up, which signals that the program is not looking for short post-surgical snapshots but rather durable trends and late-emerging effects. The intent is to capitalize on real-world data sources such as electronic health records, clinical registries, administrative claims, or other large healthcare system databases that can track patient outcomes over time and at scale.

From a scientific focus standpoint, the announcement reflects joint interests across NIH institutes. NIDDK is focused on outcomes tied to obesity and body composition, as well as obesity-related complications that fall within its mission areas. Examples explicitly highlighted include diabetes, metabolic liver disease, kidney disease, and urological conditions. In practice, this means applicants could propose studies that examine long-term weight trajectories, weight regain patterns, changes in metabolic health, remission or recurrence of type 2 diabetes, progression or improvement of fatty liver disease, kidney function outcomes, and downstream urologic complications in the years following bariatric procedures. Because the FOA emphasizes clinical outcomes, projects would typically be expected to connect surgical exposure to measurable health endpoints over extended time horizons, ideally while accounting for confounding factors and changes in clinical practice over time.

The FOA also incorporates NIDA priorities by encouraging applications that examine substance use trajectories and related high-risk behaviors among people who have undergone bariatric surgery. This reflects a concern that major physiological and psychosocial changes after surgery may alter vulnerability to substance use or change patterns of alcohol or drug consumption. Studies responsive to this interest could include long-term trends in diagnosed substance use disorders, alcohol use patterns, opioid prescribing and persistent use, overdose risk, or other behavioral outcomes that can be detected in large datasets. The framing around "trajectories" suggests interest in how risk evolves over time rather than a single post-surgery prevalence estimate.

A notable feature of the opportunity is that it allows and supports adding a prospective element to an otherwise large-dataset, observational research plan. In other words, applicants were not limited to analyzing existing data only. They could also propose targeted, forward-looking data collection to strengthen outcome measurement, fill gaps in the existing database, or add specific clinical measures that are not routinely captured. This might include collecting standardized body composition measurements, patient-reported outcomes, more granular substance use assessments, biospecimens, imaging, or other clinically meaningful measures that improve the validity and interpretability of long-term outcome analyses. The prospective component is positioned as a supplement to the large dataset approach, not a replacement for it.

Mechanistically, this was an R01 grant opportunity, meaning it supported full-scale research projects rather than small pilots. The opportunity fell under the NIH discretionary grant category, with activity categories spanning education, food and nutrition, and health. The listed CFDA numbers were 93.279 (Drug Abuse and Addiction Research Programs) and 93.847 (Diabetes, Digestive, and Kidney Diseases Extramural Research), reinforcing the dual emphasis on metabolic and substance-use-related outcomes. The award ceiling was listed as $500,000, and there was no cost sharing or matching requirement, which typically makes it easier for institutions to apply without needing to secure additional non-federal funds to meet a matching obligation.

Eligibility was broad and inclusive across many organizational types. Eligible applicants included public and private institutions of higher education, nonprofits (with and without 501(c)(3) status), for-profit organizations (including small businesses), local and state government entities, tribal governments and tribal organizations, school districts, special district governments, and public housing authorities, among others. The eligibility details also explicitly included a wide range of minority-serving institutions (such as HBCUs, Hispanic-serving institutions, AANAPISISs, Alaska Native and Native Hawaiian Serving Institutions, and tribally controlled colleges and universities), as well as faith-based and community-based organizations where appropriate. Importantly, non-U.S. entities were also eligible, including foreign organizations and foreign institutions, and foreign components of U.S. organizations were allowed as defined by NIH policy. That structure signaled NIH openness to international data resources and cross-national collaborations, provided the research could address the FOA goals and comply with applicable policies.

In terms of timing and status, the FOA was posted on June 18, 2014, with an original and current closing date of June 3, 2015, and it was archived on July 4, 2015. The archive date indicates the announcement is no longer active for new submissions, but it remains a useful reference for understanding NIH priorities in this area and for shaping proposals under newer, related funding announcements.

For applicants at the time, the practical takeaway would have been that NIH wanted rigorous, clinically grounded, long-horizon studies of bariatric surgery outcomes using the kind of large, longitudinal datasets that can answer questions about durability, late complications, and real-world effectiveness. Strong proposals would likely have centered on clearly defined cohorts, well-specified outcomes aligned with NIDDK and/or NIDA interests, thoughtful handling of bias and confounding inherent in observational data, and a credible plan for enhancing data through prospective collection when key measures were missing or insufficient. The full announcement was hosted on the NIH grants site (http://grants.nih.gov/grants/guide/pa-files/PAR-14-262.html), with the NIH Office of Extramural Research webmaster listed as the point of contact for access or technical linking issues.

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