A searchable index of real negative results, null findings, and replication failures from the published literature — so you can learn what didn't work before repeating it.
WASTE indexes published research — it does not host or republish full papers. Each entry is a metadata record (title, authors, DOI) compiled from open scholarly databases, with the abstract shown in full only where the paper is openly licensed (e.g. Creative Commons); otherwise a short excerpt is shown for reference under fair use. WASTE classifies each work by failure type; classifications are automated and approximate.
20211 results in Negative / Null Result Report · page 130 of 674
Rohit Nathani, Meena B. Bansal · 2023 · PubMed
Tremendous effort has been put forth over the past 2 decades in understanding the pathophysiology of nonalcoholic fatty liver disease/nonalcoholic steatohepatitis (NAFLD/NASH). Although multiple potential targets for drug development…
Guangfu Hu, Guangxia Hu, Chengjiao Zhang et al. · 2020 · BMC Cancer
BACKGROUND: The benefit of adjuvant chemotherapy in invasive lobular carcinoma (ILC) is still unclear. The objective of the current study was to elucidate the effectiveness of adjuvant chemotherapy in hormone receptor (HR)-positive, human epidermal growth factor receptor 2 (HER2)-negative, pT1b-c/N0-1/M0 ILC. METHODS: Based on Surveillance, Epidemiology, and End-Results (SEER) database, we identified original 12,334 HR-positive, HER2-negative, pT1b-c/N0-1/M0 ILC patients, who were then divided into adjuvant chemotherapy group and control group. End-points were overall survival (OS) and breast
Panpan Zhang, Wei Wang, Ming Lu et al. · 2018 · Cancer Medicine
BACKGROUND: Gastroesophageal Junction neuroendocrine neoplasms (GEJ-NENs) are rare and heterogeneous tumors. We aim to analyze the clinicopathlogical features and prognostic factors of GEJ-NENs and to compare the outcome of GEJ-NENs with other gastric NENs. METHODS: A total of 297 GEJ-NENs patients were enrolled from 10 Chinese hospitals and 3152 gastric NENs patients, including 274 GEJ-NENs, were retrieved from Surveillance, Epidemiology, and End Results (SEER) database. RESULTS: The clinical characteristics of GEJ-NENs among different races were different. All Chinese patients had GEJ-NENs o
Somnath Bandyopadhyay, Seán Connolly, Omar Jabado et al. · 2017 · Lupus Science & Medicine
OBJECTIVE: To characterise patients with active SLE based on pretreatment gene expression-defined peripheral immune cell patterns and identify clusters enriched for potential responders to abatacept treatment. METHODS: This post hoc…
Elysia Larson, Godfrey M Mbaruku, Jessica Cohen et al. · 2019 · International Journal for Quality in Health Care
Abstract Objective To test the success of a maternal healthcare quality improvement intervention in actually improving quality. Design Cluster-randomized controlled study with implementation evaluation; we randomized 12 primary care…
Aimara Planillo, Juan E. Malo · 2017 · Ecology and Evolution
Abstract Human disturbance is widespread across landscapes in the form of roads that alter wildlife populations. Knowing which road features are responsible for the species response and their relevance in comparison with environmental…
David Winship Taylor, Hongqi Li · 2018 · eLife
The discovery of a fossil that might be the oldest flowering plant will continue the debate on the origin and structure of ancestral flowering plants.
Eun-Kyoung Rosa Lee, Colin Phillips · 2022 · Bilingualism: Language and Cognition
Abstract It is well-known that native English speakers sometimes erroneously accept subject-verb agreement violations when there is a number-matching attractor (e.g., *The key to the cabinets were…). Whether bilinguals whose L1 lacks…
JAMIE L. BENHAM, JANE E. BOOTH, MARY J. DUNBAR et al. · 2020 · Medicine & Science in Sports & Exercise
ABSTRACT Introduction The Diabetes Aerobic and Resistance Exercise trial found that aerobic training and resistance training alone each reduced hemoglobin A1c (HbA1c) compared with nonexercising controls, and combined aerobic and…
Henry W. Caplan, Karthik S. Prabhakara, Naama E. Toledano Furman et al. · 2021 · PLOS ONE
Traumatic brain injury (TBI) causes both physical disruption of the blood brain barrier (BBB) and altered immune responses that can lead to significant secondary brain injury and chronic inflammation within the central nervous system…
Mohammad Nourani, Qian Long Kweh, Wen-Min Lu et al. · 2022 · Financial Innovation
Abstract This study examines the efficiency of investment trust companies (ITCs) from 2011 to 2020 using a meta-frontier two-stage network data envelopment analysis (DEA) based on the directional distance function (DDF). We improved the…
Maliha Ashraf, Alexandre Chapiro, Rafał Mantiuk · 2025 · Nature Communications
As large engineering efforts go towards improving the resolution of mobile, augmented reality (AR), and virtual reality (VR) displays, it is important to know the maximum resolution at which further improvements bring no noticeable benefit. This limit is often referred to as the retinal resolution, although the limiting factor may not necessarily be attributed to the retina. To determine the ultimate resolution at which an image appears sharp to our eyes with no perceivable blur, we created an experimental setup with a sliding display, which allows for continuous control of the resolution. The
Ryota Nishio, Tomotaka Dohi, Miho Yokoyama et al. · 2025 · JMIR mhealth and uhealth
Background: Cardiac rehabilitation (CR) is effective in preventing cardiovascular diseases; however, participation in CR programs remains limited due to the associated challenges. The integration of wearable devices and real-time monitoring offers a potential solution to enhance adherence to remote CR programs and their outcomes. Objective: This study aimed to evaluate the efficacy of a remote CR program using wearable devices and real-time monitoring with or without online coaching (OLC) in improving exercise capacity in patients with coronary artery disease (CAD). Methods: We enrolled 50 pat
Kyung Seo Joo, Sun Jin Sym, Kwangmin Kim et al. · 2025 · International Journal of Nanomedicine
Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, largely because of its profoundly hypoxic and desmoplastic tumor microenvironment (TME), which hinders drug delivery and promotes resistance to…
Sara Kurkowska, Julia Brosch-Lenz, Yuni K. Dewaraja et al. · 2025 · Journal of Nuclear Medicine
Individualized radiopharmaceutical therapies guided by patient-specific absorbed dose (AD) assessments using nuclear medicine imaging have the potential to improve both efficacy and safety. Understanding sources of variability in AD calculations is critical for standardization. The Society of Nuclear Medicine and Molecular Imaging Dosimetry Task Force launched the 177Lu Dosimetry Challenge to evaluate variability across steps within the dosimetry workflow. This work aimed to assess the variability in ADs due to different fitting and integration methods. Methods: Anonymized datasets from 2 pati
Zhu‐Nan Li, Feng Liu, Yu‐Jin Jung et al. · 2025 · Nature Communications
The unprecedented 2.3.4.4b. A(H5N1) outbreak in dairy cattle, poultry, and spillover to humans in the United States (US) poses a major public health threat. Population immunity is a critical component of influenza pandemic risk assessment. We assessed the pre-existing cross-reactive immunity to 2.3.4.4b A(H5N1) viruses and analyzed 1794 sera from 723 people (0.5-88 yrs) in multiple US geographic regions during 2021-2024. Pre-existing neutralizing and hemagglutinin (HA)-head-binding antibodies to A(H5N1) were low, but there were substantial cross-reactive binding antibodies to N1 neuraminidase
Yusuke Kamatsuki, Marie Synnøve Qvale, Kathrin Steffen et al. · 2024 · The American Journal of Sports Medicine
Background: Anterior cruciate ligament (ACL) injury is one of the most severe injuries for athletes. It is important to identify risk factors because a better understanding of injury causation can help inform athletes about risk and increase their understanding of and motivation for injury prevention. Purpose: To investigate the relationship between anatomic factors and risk for future noncontact ACL injuries. Study Design: Cohort study; Level of evidence, 2. Methods: A total of 870, excluding 9 players with a new contact ACL injury and a player with a new noncontact ACL injury just before the
Ulla Lång, Johanna Metsälä, Hugh Ramsay et al. · 2025 · American Journal of Psychiatry
OBJECTIVE: As many as half of individuals who develop psychosis had attended child and adolescent psychiatric services at some stage in childhood, highlighting substantial opportunities for prevention within these services if an effective preventive intervention were identified. The authors hypothesized that adolescent psychiatric patients exposed to doxycycline, an antibiotic with putative neuroprotective properties, would have a lower risk of developing schizophrenia. METHODS: This was an emulated target trial using nationwide Finnish health register data on all individuals born between 1987
Chuneeta D. Nunhokee, Donald M. Null, Cathryn M. Trott et al. · 2025 · The Astrophysical Journal
Abstract This paper presents the spherically averaged 21 cm power spectrum derived from Epoch of Reionization (EoR) observations conducted with the Murchison Widefield Array (MWA). The analysis uses EoR0-field data, centered at (R.A. = 0 h , decl. = −27 ∘ ), collected between 2013 and 2023. Building on the improved methodology described in C. M. Trott et al. (2024), we incorporate additional data quality control techniques introduced in C. D. Nunhokee (2020). We report the lowest-power-level limits on the EoR power spectrum at redshifts z = 6.5, z = 6.8, and z = 7.0. These power levels, measur
Dylan M. Anstine, Qiyuan Zhao, R.I. Zubatyuk et al. · 2026 · Science Advances
Mechanistic modeling of chemical transformations offers a compelling basis for understanding reactivity and allows for prediction of reaction outcomes before attempting experiments. Despite progress in machine-learned interatomic…
Changye Wu, Pierre Pudlo, Christian P. Robert et al. · 2026 · Statistics and Computing
stands for empirical, leverages importance sampling to construct an empirical distribution on discretization parameters, thereby eliminating the need for manual burn-in diagnostics and online adaptation. The proposal distribution used in the calibration stage is obtained via a Population Monte Carlo scheme with tempering and relies on flexible parametric variational families such as normalizing flows. Once the calibration stage complete, the resulting algorithm defines a homogeneous Markov chain via a mixture of HMC kernels with a fixed mixing distribution, and hence preserves the target distr
Remita Austin, R. Parvathi · 2025 · Scientific Reports
The absence of reliable early treatment serves as one of the main causes of cervical cancer. Hence, it is crucial to detect cervical cancer early. The biggest challenge in diagnosing cervical cancer early is that it is asymptomatic until it develops into invasive carcinoma. In medical applications, the use of machine learning and deep learning is successful as a classifier in the preliminary identification of cancerous cells in the cervical region. In our study, we present a CNN-based method for the classification of cervical cancer cells. We present a method for accurately classifying Pap sme
Bernardo G. Collaco, Syed Ali Haider, Srinivasagam Prabha et al. · 2026 · npj Digital Medicine
Agentic AI represents a promising evolution of artificial intelligence in healthcare, with systems capable of operating autonomously to achieve defined clinical goals. However, the literature lacks conceptual clarity in distinguishing AI…
Kate Ambler, Kelly Jones, Michael O’Sullivan · 2025 · Journal of Development Economics
We conduct a randomized controlled trial to test a novel intervention for increasing women’s empowerment in Uganda. The intervention includes a within-household transfer of a productive asset, which has a lower cost than an external…
Karsten Suhre, Qingwen Chen, Anna Halama et al. · 2025 · Nature Genetics
Most studies to date of protein quantitative trait loci (pQTLs) have relied on affinity proteomics platforms, which provide only limited information about the targeted protein isoforms and may be affected by genetic variation in their epitope binding. Here we show that mass spectrometry (MS)-based proteomics can complement these studies and provide insights into the role of specific protein isoform and epitope-altering variants. Using the Seer Proteograph nanoparticle enrichment MS platform, we identified and replicated new pQTLs in a genome-wide association study of proteins in blood plasma s
Edoardo Cipolletta, Tatiana Zverkova Sandström, D. Rozza et al. · 2026 · JAMA Internal Medicine
Importance: Gout is associated with increased cardiovascular risk. Whether achieving a target serum urate level lower than 6 mg/dL with urate-lowering treatment (ULT) would reduce cardiovascular risk in patients with gout is unknown. Objectives: To evaluate the association between achieving a serum urate treatment target lower than 6 mg/dL and cardiovascular events among patients with gout who were newly prescribed ULT. Design, Setting, and Participants: This new-user cohort study using emulated target trial framework with up to 5-year follow-up was performed using primary care data from the C
Husna Husna, Khalid Abdullah Al Muzaini, Maryam Rashid Saleh Al Tamimi et al. · 2026 · Ar-Rayyan Journal of Islamic Education
The increasing availability of educational data has opened new opportunities for improving instructional decision-making through learning analytics. However, its application in Islamic Religious Education (IRE) remains limited, particularly in predicting students’ academic achievement and learning behavior. This study aims to develop a learning analytics model capable of identifying learning patterns and predicting students’ performance in IRE. A quantitative research design employing Educational Data Mining (EDM) techniques was conducted using learning management system (LMS) data from 512 se
Luis E. Castro-Anaya, Eduardo Marese, Jaime A. Lozano et al. · 2025 · Journal of Chemical Information and Modeling
High Resolution Image Download MS PowerPoint Slide Traditionally, designing novel materials involves exploring new compositions guided by insights from previous work, relying on a trial-and-error approach, where continuous synthesis and characterization proceed until the properties meet the improvements. This method is inefficient due to the challenges of exploring vast chemical spaces. In this study, a machine-learning-based methodology is developed to assist the design from available data in the literature, allowing us to test in silico more than 1.2 million compositions. Two databases with
Jing Mai, Ying Ning, Zhonglong Lin et al. · 2025 · Industrial Crops and Products
Many bacteria such as Bacillus , Pseudomonas , and Lactobacillus are widely present in flue-cured tobacco leaves during the aging process, indicating they play important roles in improving tobacco quality. In this study, we aimed to screen…
Rosalyn Chi, Anthony J. Perkins, Yara Khalifeh et al. · 2024 · American Journal of Critical Care
BACKGROUND: Hypoalbuminemia has been associated with an increased risk of in-hospital delirium. However, the relationship between serum albumin levels and the duration and severity of delirium is not well defined. OBJECTIVE: To investigate…